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đź”ĄBusiness Analytics And Excel Full Course 2022 | Data Analytics With Excel | Excel | Simplilearn

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đź”ĄFree Business Analytics with Excel Course - https://www.simplilearn.com/learn-business-analytics-excel-fundamentals-skillup?utm_campaign=BusinessAnalyticsAndExcelFC&utm_medium=Description&utm_source=youtube
This video on Business Analyst and Excel Full Course is curated in collaboration with leading Business Data Analysis oriented organizations and real-time industry experts. The Full Course on Business Analytics and Excel will deliver you the top-notch Data and Business Analytics skills in demand and required by the current IT industries. The tutorial will help you gain the critical Excel and Business Analytics fundamentals, skills, tips, and tricks that will help you stand out during your interview and successfully bag your dream job.
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Who Is A Business Analyst?
A business analyst understands the business problems and identifies the solutions that will maximize the organization's value to its stakeholders. A business analyst is an individual who works closely with the technology team to improve the quality of the services being delivered. They ensure the customer needs are correctly interpreted and translated into application. They possess programming, SQL, and business intelligence skills to deliver data-driven solutions.
Post Graduate Program in Business Analysis:
Get your business analysis career started with our Post Graduate Program in Business Analysis, in partnership with Purdue University. This business analysis certification program helps you build extensive business expertise with real-world projects and prepares you for the business analyst role. This Post Graduate Program in Business Analysis will help you master business analysis techniques, Agile Scrum methodologies, SQL database, and visualization tools, including Excel, Power BI, and Tableau. You will learn about business analysis planning and monitoring, build interactive dashboards and understand the competencies of a Business Analyst.
Program Details:
Jumpstart your career as a Business Analysis Professional with this comprehensive curriculum covering the concepts of business analysis tools and techniques, statistics fundamentals, interaction with databases using SQL, and data visualization using excel, Power BI, and Tableau.
Key Features:
âś… Purdue Post Graduate Program Certification
âś… Purdue Alumni Association Membership
âś… Masterclasses from Purdue faculty
âś… Enrollment in Simplilearnâ€™s JobAssist
âś… Get noticed by the top hiring companies
âś… Case Studies from Harvard Business Publishing Education
âś… Obtain 35 IIBA PDs/CDUs and 25 PMI PDUs
âś… 170+ hours of Applied Learning
âś… 11+ hands-on projects
âś… Capstone project in 3 domains
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{'title': 'đź”ĄBusiness Analytics And Excel Full Course 2022 | Data Analytics With Excel | Excel | Simplilearn', 'heatmap': [{'end': 2667.375, 'start': 2439.567, 'weight': 1}], 'summary': 'This full course on business analytics and excel covers various topics including the role and skills of a business analyst, data analysis techniques using excel, comparison of business analyst vs. data analyst, and using excel functions, pivot tables, and regression analysis for data analysis and visualization, with practical examples and real-life scenarios.', 'chapters': [{'end': 164.768, 'segs': [{'end': 70.611, 'src': 'embed', 'start': 25.523, 'weight': 4, 'content': [{'end': 28.304, 'text': "Hey everyone, welcome to Simply Learn's YouTube channel.", 'start': 25.523, 'duration': 2.781}, {'end': 35.005, 'text': 'In this session, we will be learning who is a Business Analyst and Business Analytics with Excel.', 'start': 28.644, 'duration': 6.361}, {'end': 43.367, 'text': 'But before we begin, I would like to take a quick confirmation from our viewers if the screen is clearly visible and the audio is clear.', 'start': 35.545, 'duration': 7.822}, {'end': 51.589, 'text': 'If yes, kindly type yes in the chat section and if there is anything that we can improvise, then do let us know in the chat section.', 'start': 43.827, 'duration': 7.762}, {'end': 70.611, 'text': 'Great, I can see a lot of positive responses from our viewers.', 'start': 67.409, 'duration': 3.202}], 'summary': "Introduction to business analyst and business analytics with excel on simply learn's youtube channel, ensuring clear visibility and audio for viewers.", 'duration': 45.088, 'max_score': 25.523, 'thumbnail': 'https://coursnap.oss-ap-southeast-1.aliyuncs.com/video-capture/0zznNu9ukCw/pics/0zznNu9ukCw25523.jpg'}, {'end': 120.486, 'src': 'embed', 'start': 96.36, 'weight': 0, 'content': [{'end': 104.244, 'text': 'We will get started by understanding the need for business analyst and how important it is for a company to have a business analyst on board.', 'start': 96.36, 'duration': 7.884}, {'end': 111.048, 'text': 'Now, followed by that, we will understand the critical skills and roles and responsibilities of a business analyst.', 'start': 104.745, 'duration': 6.303}, {'end': 116.431, 'text': 'Followed by that, we will understand the key knowledge areas of a business analyst.', 'start': 111.589, 'duration': 4.842}, {'end': 120.486, 'text': 'We will understand business analytics with Excel.', 'start': 117.745, 'duration': 2.741}], 'summary': 'Importance of business analyst, skills, roles, responsibilities, and knowledge areas are discussed. business analytics with excel is covered.', 'duration': 24.126, 'max_score': 96.36, 'thumbnail': 'https://coursnap.oss-ap-southeast-1.aliyuncs.com/video-capture/0zznNu9ukCw/pics/0zznNu9ukCw96360.jpg'}], 'start': 25.523, 'title': 'Business analyst & business analytics with excel', 'summary': 'Discusses the importance of a business analyst, key skills, knowledge areas, and differentiates business analyst and data analyst, while also covering various excel functions and data analysis techniques, aimed at tech enthusiasts.', 'chapters': [{'end': 164.768, 'start': 25.523, 'title': 'Business analyst & business analytics with excel', 'summary': 'Discusses the importance of a business analyst, key skills, knowledge areas, and differentiates business analyst and data analyst, while also covering various excel functions and data analysis techniques, aimed at tech enthusiasts.', 'duration': 139.245, 'highlights': ['The chapter emphasizes the need for a business analyst and their importance for a company, setting the stage for further discussion on the topic.', 'It discusses critical skills, roles, and responsibilities of a business analyst, providing valuable insights for aspiring professionals.', 'The session covers key knowledge areas of a business analyst, offering comprehensive understanding for those interested in pursuing a career in business analysis.', 'The differentiation between a business analyst and a data analyst is explained, providing clarity on the distinctions between the two roles.', 'Various Excel functions such as lookup functions (HLookup, VLookup, XLOOKUP), sorting, filtering, conditional formatting, data validation, pivot tables, pivot charts, and data analysis with toolpath are thoroughly covered, catering to individuals keen on mastering business analytics with Excel.']}], 'duration': 139.245, 'thumbnail': 'https://coursnap.oss-ap-southeast-1.aliyuncs.com/video-capture/0zznNu9ukCw/pics/0zznNu9ukCw25523.jpg', 'highlights': ['The chapter emphasizes the need for a business analyst and their importance for a company, setting the stage for further discussion on the topic.', 'The session covers key knowledge areas of a business analyst, offering comprehensive understanding for those interested in pursuing a career in business analysis.', 'It discusses critical skills, roles, and responsibilities of a business analyst, providing valuable insights for aspiring professionals.', 'The differentiation between a business analyst and a data analyst is explained, providing clarity on the distinctions between the two roles.', 'Various Excel functions such as lookup functions (HLookup, VLookup, XLOOKUP), sorting, filtering, conditional formatting, data validation, pivot tables, pivot charts, and data analysis with toolpath are thoroughly covered, catering to individuals keen on mastering business analytics with Excel.']}, {'end': 1009.109, 'segs': [{'end': 332.607, 'src': 'embed', 'start': 289.862, 'weight': 0, 'content': [{'end': 295.045, 'text': 'This way, Ted knew that business will improve as customers prefer home delivery in the current scenario.', 'start': 289.862, 'duration': 5.183}, {'end': 300.749, 'text': 'Next, Ted suggested that Rob has work from home meal boxes added to his menu.', 'start': 295.686, 'duration': 5.063}, {'end': 304.545, 'text': 'Many professionals are working from home currently,', 'start': 302.202, 'duration': 2.343}, {'end': 309.853, 'text': 'and having work from home meal boxes would be a good pick for such professionals in the middle of a busy day.', 'start': 304.545, 'duration': 5.308}, {'end': 317.203, 'text': "Ted's third suggestion was to bring down the selling cost by providing discount coupons that can be utilized by customers.", 'start': 309.873, 'duration': 7.33}, {'end': 321.233, 'text': "Having a discount will enable more customers to order from Rob's Cafe.", 'start': 318.089, 'duration': 3.144}, {'end': 327.581, 'text': 'Of course, it was not possible to get the customer base back without any short of price cuts in the current situation.', 'start': 321.694, 'duration': 5.887}, {'end': 332.607, 'text': "Finally, Ted suggested that Rob's staff would facilitate home delivery orders.", 'start': 328.021, 'duration': 4.586}], 'summary': "Ted proposed adding work-from-home meal boxes, discount coupons, and home delivery to improve business for rob's cafe.", 'duration': 42.745, 'max_score': 289.862, 'thumbnail': 'https://coursnap.oss-ap-southeast-1.aliyuncs.com/video-capture/0zznNu9ukCw/pics/0zznNu9ukCw289862.jpg'}, {'end': 825.815, 'src': 'embed', 'start': 799.542, 'weight': 3, 'content': [{'end': 803.564, 'text': 'Growing a career in a field with high demand, such as business analysis,', 'start': 799.542, 'duration': 4.022}, {'end': 808.306, 'text': 'could be a challenge and competition for business analyst positions can be intense.', 'start': 803.564, 'duration': 4.742}, {'end': 813.849, 'text': 'So, you should have a clear understanding of the roles and responsibilities of a business analyst.', 'start': 808.947, 'duration': 4.902}, {'end': 821.233, 'text': "A BA should successfully identify and recognize the organization's business objective.", 'start': 816.25, 'duration': 4.983}, {'end': 825.815, 'text': 'They should understand the business problems and think of a lucrative business solution.', 'start': 821.673, 'duration': 4.142}], 'summary': 'Career growth in high-demand field like business analysis requires understanding roles, responsibilities, and business objectives.', 'duration': 26.273, 'max_score': 799.542, 'thumbnail': 'https://coursnap.oss-ap-southeast-1.aliyuncs.com/video-capture/0zznNu9ukCw/pics/0zznNu9ukCw799542.jpg'}, {'end': 938.958, 'src': 'embed', 'start': 907.869, 'weight': 2, 'content': [{'end': 913.214, 'text': 'They verify and validate if the project is running well with the help of user acceptance testing,', 'start': 907.869, 'duration': 5.345}, {'end': 916.077, 'text': "and the solutions are in line with the client's requirements.", 'start': 913.214, 'duration': 2.863}, {'end': 921.425, 'text': 'They also ensure that the product delivered satisfies the user requirements.', 'start': 917.642, 'duration': 3.783}, {'end': 929.451, 'text': 'Finally, BAs write documentations and build visualizations to explain all the findings and draw business insights.', 'start': 922.966, 'duration': 6.485}, {'end': 932.493, 'text': 'They also deliver maintenance reports.', 'start': 930.572, 'duration': 1.921}, {'end': 938.958, 'text': 'They need to develop informative, coherent, and usable documents for the success of a project.', 'start': 933.554, 'duration': 5.404}], 'summary': 'Bas verify project success through user acceptance testing, ensure solutions meet client requirements, and create documentation and visualizations for business insights.', 'duration': 31.089, 'max_score': 907.869, 'thumbnail': 'https://coursnap.oss-ap-southeast-1.aliyuncs.com/video-capture/0zznNu9ukCw/pics/0zznNu9ukCw907869.jpg'}], 'start': 165.328, 'title': 'The role of a business analyst', 'summary': 'Discusses the pivotal role of a business analyst through real-life examples, showcasing how a business analyst helped a cafe owner regain 80% of customers amidst covid-19 and how another analyst successfully delivered an e-commerce app project, presenting typical duties and quantifiable outcomes.', 'chapters': [{'end': 428.543, 'start': 165.328, 'title': 'Importance of business analyst', 'summary': 'Discusses the importance of a business analyst through a story about how a business analyst helped a cafe owner reopen his business amidst covid-19, regain 80% of his customer base, and make the business sustainable.', 'duration': 263.215, 'highlights': ['Ted, the business analyst, helped the cafe owner reopen the business amidst COVID-19 and regain 80% of his customer base through strategic business analysis.', 'Ted suggested developing an exclusive home delivery app, adding work from home meal boxes to the menu, providing discount coupons, and facilitating home delivery orders to improve the business.', 'Ted played a crucial role in collaborating with the IT team, implementing changes, holding regular meetings, documenting the case, and presenting business growth data to support his approach and ensure the success of the business.', 'The story illustrates the significant impact of having a business analyst in an organization during challenging times like the COVID-19 pandemic, showcasing the value of strategic analysis and change management in ensuring business sustainability.']}, {'end': 1009.109, 'start': 429.043, 'title': 'Roles and responsibilities of a business analyst', 'summary': "Highlights the roles and responsibilities of a business analyst, focusing on the story of angela and rob, where angela successfully delivers rob's e-commerce app project by understanding business requirements, gathering necessary information, allocating resources, monitoring progress, collecting feedback, building reports, and presenting project findings, portraying the typical duties of a business analyst.", 'duration': 580.066, 'highlights': ["Angela successfully delivers Rob's e-commerce app project by understanding business requirements, gathering necessary information, and allocating resources. Angela ensures a smooth delivery of Rob's project by understanding his business objectives, gathering requirements, and allocating resources to the development team.", "Angela continuously monitors the progress and provides feedback to the development team, ensuring the app's layout, design, and features are improved. Angela actively monitors the project's progress and provides feedback to the development team for continuous improvement of the application's layout, design, and features.", "Angela collects feedback from users and ensures the project's functionality meets the requirements through use acceptance testing. Angela collects user feedback and conducts use acceptance testing to ensure the functionality of the project meets the specified requirements.", "Angela builds reports using data visualization tools like Tableau, Power BI, and ClickView to gauge the performance of the app and provide valuable insights. Angela utilizes data visualization tools to create reports, enabling her to assess the app's performance and derive valuable insights for the project.", "Angela documents and presents the project findings to Rob, maintaining transparency throughout the project phase. Angela ensures transparency by documenting and presenting project findings to Rob, maintaining clear communication and understanding of the project's outcomes."]}], 'duration': 843.781, 'thumbnail': 'https://coursnap.oss-ap-southeast-1.aliyuncs.com/video-capture/0zznNu9ukCw/pics/0zznNu9ukCw165328.jpg', 'highlights': ['Ted helped the cafe owner regain 80% of customers amidst COVID-19 through strategic business analysis.', "Angela successfully delivers Rob's e-commerce app project by understanding business requirements and allocating resources.", 'Ted suggested developing an exclusive home delivery app, adding work from home meal boxes to the menu, and providing discount coupons to improve the business.', 'Angela builds reports using data visualization tools like Tableau, Power BI, and ClickView to gauge the performance of the app and provide valuable insights.', 'Ted played a crucial role in collaborating with the IT team, implementing changes, holding regular meetings, and presenting business growth data to support his approach.']}, {'end': 2363.822, 'segs': [{'end': 1220.641, 'src': 'embed', 'start': 1195.009, 'weight': 4, 'content': [{'end': 1203.252, 'text': 'negotiation skills are used by all parties involved to determine which requests become requirements and which requirements have higher priority.', 'start': 1195.009, 'duration': 8.243}, {'end': 1210.155, 'text': 'As the project progresses, negotiation skills help to determine the functional design which fulfill the requirements.', 'start': 1203.992, 'duration': 6.163}, {'end': 1213.176, 'text': 'Technical decisions also require negotiation skills.', 'start': 1210.675, 'duration': 2.501}, {'end': 1220.641, 'text': 'Business analysts also perform cost-benefit analysis to conduct an assessment of the benefits and costs anticipated in a project.', 'start': 1214.036, 'duration': 6.605}], 'summary': 'Negotiation skills drive requirement prioritization and functional design decisions in projects.', 'duration': 25.632, 'max_score': 1195.009, 'thumbnail': 'https://coursnap.oss-ap-southeast-1.aliyuncs.com/video-capture/0zznNu9ukCw/pics/0zznNu9ukCw1195009.jpg'}, {'end': 1375.661, 'src': 'embed', 'start': 1295.794, 'weight': 0, 'content': [{'end': 1300.357, 'text': 'While some may argue that the technical team is responsible for designing the solution,', 'start': 1295.794, 'duration': 4.563}, {'end': 1306.642, 'text': 'the business analyst still remains instrumental in ensuring that the design conforms to the requirements that have been approved.', 'start': 1300.357, 'duration': 6.285}, {'end': 1310.484, 'text': 'Now that we have reached halfway through the skills,', 'start': 1307.843, 'duration': 2.641}, {'end': 1315.728, 'text': 'I would like to ask all our viewers to please subscribe to our channel and hit the bell icon to never miss an update from Simply Learn.', 'start': 1310.484, 'duration': 5.244}, {'end': 1323.574, 'text': 'Moving on, we have another really important business analyst skill that is idea about programming languages.', 'start': 1317.209, 'duration': 6.365}, {'end': 1331.123, 'text': 'Business analysts should have a good hands-on programming knowledge for performing better and faster analysis of data.', 'start': 1326.141, 'duration': 4.982}, {'end': 1334.425, 'text': 'Knowledge of R and Python is highly beneficial.', 'start': 1332.324, 'duration': 2.101}, {'end': 1338.587, 'text': 'Business analysts can help solve complex problems by writing efficient codes.', 'start': 1335.285, 'duration': 3.302}, {'end': 1347.331, 'text': 'Both R and Python have a vast collection of libraries and packages for data manipulation, data wrangling, data visualization, and data analytics.', 'start': 1339.468, 'duration': 7.863}, {'end': 1354.535, 'text': 'Some of these libraries are NumPy, Pandas, Dplyr, Tidyr, ggplot, and matplotlib.', 'start': 1348.372, 'duration': 6.163}, {'end': 1360.594, 'text': 'In addition to these, it is good to understand statistical software like SAS and SPSS.', 'start': 1355.632, 'duration': 4.962}, {'end': 1366.857, 'text': 'Using these programming languages, such as Python R and SAS, you can analyze and visualize large datasets,', 'start': 1361.295, 'duration': 5.562}, {'end': 1370.019, 'text': 'as well as create machine learning models for making future business predictions.', 'start': 1366.857, 'duration': 3.162}, {'end': 1375.661, 'text': 'The seventh skill in our list is creation of reports and dashboards.', 'start': 1372.56, 'duration': 3.101}], 'summary': 'Business analysts need programming knowledge in r and python for efficient data analysis and should be able to create reports and dashboards.', 'duration': 79.867, 'max_score': 1295.794, 'thumbnail': 'https://coursnap.oss-ap-southeast-1.aliyuncs.com/video-capture/0zznNu9ukCw/pics/0zznNu9ukCw1295794.jpg'}, {'end': 1481.402, 'src': 'embed', 'start': 1452.696, 'weight': 11, 'content': [{'end': 1459.061, 'text': 'So, they should be able to write data definition and data manipulation commands such as create, update, delete and insert.', 'start': 1452.696, 'duration': 6.365}, {'end': 1463.572, 'text': 'Microsoft Excel is the ninth skill in our list.', 'start': 1461.451, 'duration': 2.121}, {'end': 1472.617, 'text': 'Excel is one of the oldest and most popular and powerful analytics and reporting tool used in the industries for working with data.', 'start': 1465.853, 'duration': 6.764}, {'end': 1481.402, 'text': 'Business analysts use Excel to perform various calculations, budget analysis and data analysis to derive meaningful insights and take decisions.', 'start': 1473.998, 'duration': 7.404}], 'summary': 'Excel is the ninth skill in our list, used for data manipulation and analysis.', 'duration': 28.706, 'max_score': 1452.696, 'thumbnail': 'https://coursnap.oss-ap-southeast-1.aliyuncs.com/video-capture/0zznNu9ukCw/pics/0zznNu9ukCw1452696.jpg'}, {'end': 1521.539, 'src': 'embed', 'start': 1493.649, 'weight': 13, 'content': [{'end': 1499.416, 'text': 'Business analysts can use Excel to create revenue growth models for new products based on new customer forecasts.', 'start': 1493.649, 'duration': 5.767}, {'end': 1505.583, 'text': 'When planning an editorial calendar for a website, business analysts can list out dates and topics in a spreadsheet.', 'start': 1500.317, 'duration': 5.266}, {'end': 1511.293, 'text': 'When creating a budget for a small product, they can list expense categories in a spreadsheet,', 'start': 1506.65, 'duration': 4.643}, {'end': 1516.256, 'text': 'update it monthly and create a chart to show how close the product is to budget across each category.', 'start': 1511.293, 'duration': 4.963}, {'end': 1521.539, 'text': 'Business analysts can calculate customer discounts based on monthly purchase volume by product.', 'start': 1517.277, 'duration': 4.262}], 'summary': 'Excel aids business analysts in revenue models, calendars, budgets, and discounts.', 'duration': 27.89, 'max_score': 1493.649, 'thumbnail': 'https://coursnap.oss-ap-southeast-1.aliyuncs.com/video-capture/0zznNu9ukCw/pics/0zznNu9ukCw1493649.jpg'}, {'end': 1571.874, 'src': 'embed', 'start': 1536.121, 'weight': 12, 'content': [{'end': 1541.364, 'text': "You could have all the industry experience in the world, but if it's paired with poor business analyst practices,", 'start': 1536.121, 'duration': 5.243}, {'end': 1545.786, 'text': 'you could be more of a risk to the organization than a business analyst with no industry experience at all.', 'start': 1541.364, 'duration': 4.422}, {'end': 1551.749, 'text': 'A business analyst must be able to document their project learnings and results in a concise and compact form.', 'start': 1546.727, 'duration': 5.022}, {'end': 1557.993, 'text': 'They should also be confident about presenting their findings and conclusions in front of the stakeholders and clients.', 'start': 1552.71, 'duration': 5.283}, {'end': 1563.371, 'text': 'Organized documentation will help you communicate technical concepts to non-technical employees.', 'start': 1559.17, 'duration': 4.201}, {'end': 1568.673, 'text': 'It is important that a business analyst notes down all the details that they learn from their projects.', 'start': 1564.071, 'duration': 4.602}, {'end': 1571.874, 'text': 'This will help them take better decisions in the future.', 'start': 1569.733, 'duration': 2.141}], 'summary': 'Good business analyst practices outweigh industry experience. effective documentation and communication are essential for success.', 'duration': 35.753, 'max_score': 1536.121, 'thumbnail': 'https://coursnap.oss-ap-southeast-1.aliyuncs.com/video-capture/0zznNu9ukCw/pics/0zznNu9ukCw1536121.jpg'}], 'start': 1009.91, 'title': 'Business analyst skills and career', 'summary': 'Emphasizes essential skills for business analysts such as critical thinking, communication, and negotiation, as well as the importance of cost-benefit analysis, decision-making, programming languages, database and sql knowledge, excel proficiency, and agile and scrum methodologies. it also provides a career roadmap for aspiring business analysts.', 'chapters': [{'end': 1213.176, 'start': 1009.91, 'title': 'Essential skills for business analysts', 'summary': 'Emphasizes the essential skills for a business analyst, including critical thinking, communication, and negotiation, and highlights the importance of these skills in understanding client requirements and driving successful project outcomes.', 'duration': 203.266, 'highlights': ['Critical Thinking and Analysis Business analysts are paid to think and analyze client requirements, requiring good focus and the ability to distinguish between valuable and low-priority requirements.', 'Communication and Interpersonal Skills Being multilingual in conveying requirements, business analysts utilize verbal, written, and non-verbal communication to effectively interact with stakeholders at every stage of the project.', 'Negotiation and Cost Benefit Analysis Negotiation skills are essential in determining project vision, prioritizing requirements, and making technical decisions, crucial for successful interactions with clients and project stakeholders.']}, {'end': 1920.872, 'start': 1214.036, 'title': 'Essential business analyst skills & training', 'summary': 'Covers the essential skills required for a business analyst, including cost-benefit analysis, decision-making, programming languages, database and sql knowledge, excel proficiency, and documentation and presentation skills.', 'duration': 706.836, 'highlights': ['Business analysts should have a good hands-on programming knowledge, particularly in R and Python, to solve complex problems by writing efficient codes. Hands-on programming knowledge in R and Python, ability to solve complex problems, writing efficient codes', 'Proficiency in using various business intelligence tools like Tableau, Power BI, and QlikView is required for creating different types of reports and dashboards based on business requirements. Proficiency in using business intelligence tools, creating reports and dashboards, tools like Tableau, Power BI, QlikView', 'Knowledge of relational and NoSQL databases such as Microsoft SQL Server, Oracle Database, MySQL Database, and hands-on experience with SQL is essential for a business analyst to access, retrieve, manipulate, and analyze data. Knowledge of relational and NoSQL databases, hands-on experience with SQL, accessing, retrieving, manipulating, and analyzing data', 'Excel is one of the oldest and most popular and powerful analytics and reporting tool used by business analysts for various calculations, budget analysis, and data analysis to derive meaningful insights and take decisions. Excel as an analytics and reporting tool, various calculations, budget analysis, data analysis, deriving meaningful insights', 'Business analysts should be able to document their project learnings and results in a concise and compact form, and confidently present their findings and conclusions in front of stakeholders and clients. Documenting project learnings and results, presenting findings and conclusions, concise and compact form']}, {'end': 2096.987, 'start': 1920.872, 'title': 'Business analyst career roadmap', 'summary': 'Provides a roadmap for both fresher and experienced professionals to become a business analyst, including essential skills, knowledge areas, and the benefits of certification.', 'duration': 176.115, 'highlights': ['The transcript provides a roadmap for both fresher and experienced professionals to become a business analyst, including essential skills and knowledge areas. The chapter outlines the essential skills and knowledge areas required for both fresher and experienced professionals to become a business analyst, emphasizing the importance of a graduation degree, knowledge of SQL, programming languages, communication skills, domain knowledge, SQL query writing, programming proficiency, and business intelligence tools.', 'The chapter highlights the benefits of having a certification offered by the International Institute of Business Analysis, such as Certified Business Analysis Professional. It emphasizes the benefits of obtaining a certification from the International Institute of Business Analysis, particularly the Certified Business Analysis Professional (CBAP), as highly beneficial for individuals pursuing a career as a business analyst.', 'The chapter explains the knowledge areas essential for business analysis, including planning and monitoring, elicitation and collaboration, requirements lifecycle management, strategy analysis, requirements analysis and design definition, and solution evaluation. It details the knowledge areas essential for business analysis, encompassing planning and monitoring, elicitation and collaboration, requirements lifecycle management, strategy analysis, requirements analysis and design definition, and solution evaluation, emphasizing their significance in managing and maintaining requirements throughout their lifecycle, addressing business needs, and measuring solution performance.']}, {'end': 2363.822, 'start': 2096.987, 'title': 'Agile and scrum methodologies', 'summary': 'Discusses agile and scrum methodologies, highlighting their key principles and steps involved, with agile emphasizing on incremental and iterative approach to project management and software development, and scrum empowering development teams to produce high-value products in small increments through defined roles, artifacts, and sprint ceremonies.', 'duration': 266.835, 'highlights': ['Agile methodology emphasizes on incremental and iterative approach to project management and software development, aiding in faster delivery of value to customers with constant collaboration and iteration, breaking down work into several sprints with shippable products reviewed and improved in each sprint. Agile methodology facilitates faster delivery of value with constant collaboration and iteration, breaking down work into several sprints with shippable products reviewed and improved in each sprint.', 'Scrum empowers development teams to produce high-value products in small increments through defined roles, artifacts, and sprint ceremonies, enabling adjustment to rapidly changing requirements and delivering products meeting evolving business goals. Scrum empowers development teams to produce high-value products in small increments through defined roles, artifacts, and sprint ceremonies, enabling adjustment to rapidly changing requirements and delivering products meeting evolving business goals.', 'Agile methodology involves steps such as planning the project, designing the solution, developing the solution, testing the product, deploying the product, and reviewing the product, all of which are broken down into several sprints, each resulting in a shippable product reviewed by stakeholders. Agile methodology involves steps such as planning, designing, developing, testing, deploying, and reviewing the product, all broken down into several sprints, each resulting in a shippable product reviewed by stakeholders.', 'Scrum methodology encompasses three roles - product owner, scrum master, and development team, along with three artifacts - product backlog, sprint backlog, and product increment, and four sprint ceremonies - sprint planning, sprint review, sprint retrospective, and daily scrum. Scrum methodology encompasses three roles, three artifacts, and four sprint ceremonies that facilitate efficient development and delivery of products.']}], 'duration': 1353.912, 'thumbnail': 'https://coursnap.oss-ap-southeast-1.aliyuncs.com/video-capture/0zznNu9ukCw/pics/0zznNu9ukCw1009910.jpg', 'highlights': ['Critical Thinking and Analysis are essential for business analysts to distinguish valuable requirements.', 'Communication and Interpersonal Skills are crucial for effective interaction with stakeholders.', 'Negotiation skills are essential for determining project vision and making technical decisions.', 'Hands-on programming knowledge in R and Python is crucial for solving complex problems.', 'Proficiency in using business intelligence tools like Tableau, Power BI, and QlikView is required.', 'Knowledge of relational and NoSQL databases and hands-on experience with SQL is essential.', 'Excel proficiency is crucial for various calculations, budget analysis, and data analysis.', 'Documenting project learnings and presenting findings in a concise form is important.', 'The chapter outlines essential skills and knowledge areas for becoming a business analyst.', 'Certification from the International Institute of Business Analysis is highly beneficial.', 'The chapter explains the knowledge areas essential for business analysis.', 'Agile methodology facilitates faster delivery of value with constant collaboration and iteration.', 'Scrum empowers development teams to produce high-value products in small increments.', 'Agile methodology involves steps such as planning, designing, developing, testing, deploying, and reviewing the product.', 'Scrum methodology encompasses three roles, three artifacts, and four sprint ceremonies.']}, {'end': 4201.473, 'segs': [{'end': 2483.412, 'src': 'embed', 'start': 2457.423, 'weight': 5, 'content': [{'end': 2463.674, 'text': 'They do create pivot tables and pivot charts to summarize and analyze data, find trends and insights to make critical decisions.', 'start': 2457.423, 'duration': 6.251}, {'end': 2471.669, 'text': 'So in this demo we will work on a sales data set from the United States and analyze the total revenue, total profit,', 'start': 2464.827, 'duration': 6.842}, {'end': 2478.211, 'text': 'the quantity sold for different categories and subcategories of products across various regions, segments, cities, etc.', 'start': 2471.669, 'duration': 6.542}, {'end': 2480.771, 'text': 'Now let me show you the data set first.', 'start': 2479.151, 'duration': 1.62}, {'end': 2483.412, 'text': 'Okay, so here is my data set.', 'start': 2481.651, 'duration': 1.761}], 'summary': 'They use pivot tables and charts to analyze us sales data for total revenue, profit, and quantity sold across different product categories and regions.', 'duration': 25.989, 'max_score': 2457.423, 'thumbnail': 'https://coursnap.oss-ap-southeast-1.aliyuncs.com/video-capture/0zznNu9ukCw/pics/0zznNu9ukCw2457423.jpg'}, {'end': 2673.842, 'src': 'heatmap', 'start': 2439.567, 'weight': 8, 'content': [{'end': 2445.772, 'text': 'Then we have bug tracking and agile project management product Zira and Tableau software for data visualization.', 'start': 2439.567, 'duration': 6.205}, {'end': 2450.195, 'text': "Okay, so let's look at a demo on business analyst training.", 'start': 2445.792, 'duration': 4.403}, {'end': 2456.481, 'text': 'Oftentimes, business analysts work on structured data using Excel to prepare reports and dashboards.', 'start': 2451.252, 'duration': 5.229}, {'end': 2463.674, 'text': 'They do create pivot tables and pivot charts to summarize and analyze data, find trends and insights to make critical decisions.', 'start': 2457.423, 'duration': 6.251}, {'end': 2471.669, 'text': 'So in this demo we will work on a sales data set from the United States and analyze the total revenue, total profit,', 'start': 2464.827, 'duration': 6.842}, {'end': 2478.211, 'text': 'the quantity sold for different categories and subcategories of products across various regions, segments, cities, etc.', 'start': 2471.669, 'duration': 6.542}, {'end': 2480.771, 'text': 'Now let me show you the data set first.', 'start': 2479.151, 'duration': 1.62}, {'end': 2483.412, 'text': 'Okay, so here is my data set.', 'start': 2481.651, 'duration': 1.761}, {'end': 2495.006, 'text': 'You can see, there are nearly 9,994 rows and we have 17 columns.', 'start': 2483.932, 'duration': 11.074}, {'end': 2500.368, 'text': 'you can see, this is a sales data set and the first column is of order date.', 'start': 2495.006, 'duration': 5.362}, {'end': 2502.189, 'text': 'then we have the shipment date.', 'start': 2500.368, 'duration': 1.821}, {'end': 2503.709, 'text': 'we have the shipment mode.', 'start': 2502.189, 'duration': 1.52}, {'end': 2508.391, 'text': 'next we have the customer name, that is, the customer who purchased the product.', 'start': 2503.709, 'duration': 4.682}, {'end': 2511.233, 'text': 'we have the segment, the country name.', 'start': 2508.391, 'duration': 2.842}, {'end': 2512.933, 'text': "there's only united states.", 'start': 2511.233, 'duration': 1.7}, {'end': 2515.094, 'text': 'then we have the different cities from the us.', 'start': 2512.933, 'duration': 2.161}, {'end': 2520.557, 'text': 'we have the state names and if i go to the right, you can see the categories of product.', 'start': 2515.094, 'duration': 5.463}, {'end': 2523.063, 'text': 'We also have the subcategories.', 'start': 2521.462, 'duration': 1.601}, {'end': 2525.666, 'text': 'Next we have the product name.', 'start': 2524.204, 'duration': 1.462}, {'end': 2528.648, 'text': 'Then we have our sales value.', 'start': 2526.627, 'duration': 2.021}, {'end': 2531.271, 'text': 'Now you can assume this to be in dollars.', 'start': 2529.309, 'duration': 1.962}, {'end': 2535.514, 'text': 'Then we have the quantity that was sold for each product.', 'start': 2532.532, 'duration': 2.982}, {'end': 2539.618, 'text': 'Then we have the discount column and finally we have the profit column.', 'start': 2536.555, 'duration': 3.063}, {'end': 2545.171, 'text': "So let's analyze this data set using different charts and graphs.", 'start': 2541.57, 'duration': 3.601}, {'end': 2550.233, 'text': "First, let's create a pivot table to see the sales by region and year.", 'start': 2546.252, 'duration': 3.981}, {'end': 2554.994, 'text': 'So here we want to see the sales of all the years in different regions of the United States.', 'start': 2550.893, 'duration': 4.101}, {'end': 2564.858, 'text': "So for that, I'll click on any cell inside this data set, go to the insert tab and here I have the option to create a pivot table.", 'start': 2556.255, 'duration': 8.603}, {'end': 2574.462, 'text': "I'll click on this create pivot table option, and you can see it has selected my entire data and here I'll choose new worksheet.", 'start': 2565.758, 'duration': 8.704}, {'end': 2584.246, 'text': "that is the place where I want to place this pivot table and let's click on ok, so you can see it has created a new sheet, which is sheet 2,", 'start': 2574.462, 'duration': 9.784}, {'end': 2592.59, 'text': "and let's drag our columns onto the different sections in this pivot table fields.", 'start': 2584.246, 'duration': 8.344}, {'end': 2605.864, 'text': "so since I want to know the region and the year, so let's drag the order date first and let's delete the quarter column.", 'start': 2592.59, 'duration': 13.274}, {'end': 2609.005, 'text': "so I'll click on remove field.", 'start': 2605.864, 'duration': 3.141}, {'end': 2610.346, 'text': "I don't want this field.", 'start': 2609.005, 'duration': 1.341}, {'end': 2628.58, 'text': "so I have my years first and then let's drag region column under columns and we want to know the sales for all the years in different regions.", 'start': 2610.346, 'duration': 18.234}, {'end': 2631.903, 'text': "So, I'll drag sales onto values.", 'start': 2628.62, 'duration': 3.283}, {'end': 2638.267, 'text': 'You can see here we have our pivot table ready.', 'start': 2635.005, 'duration': 3.262}, {'end': 2642.671, 'text': 'If you want, you can go ahead and rename these row labels and column labels.', 'start': 2638.848, 'duration': 3.823}, {'end': 2648.989, 'text': "now, with this table ready, let's create a line chart.", 'start': 2643.806, 'duration': 5.183}, {'end': 2652.672, 'text': 'this will help you analyze your data better.', 'start': 2648.989, 'duration': 3.683}, {'end': 2661.578, 'text': 'so what you can do is go to the insert tab and here, under recommended charts, you can go for line chart.', 'start': 2652.672, 'duration': 8.906}, {'end': 2667.375, 'text': 'you can see the line chart preview here and click on ok, There you go.', 'start': 2661.578, 'duration': 5.797}, {'end': 2673.842, 'text': 'How easily Excel has created a pivot chart for us based on this pivot table.', 'start': 2668.155, 'duration': 5.687}], 'summary': 'Demo on business analyst training using excel to analyze sales data set with nearly 9,994 rows and 17 columns, creating pivot tables and pivot charts to find trends and insights.', 'duration': 24.853, 'max_score': 2439.567, 'thumbnail': 'https://coursnap.oss-ap-southeast-1.aliyuncs.com/video-capture/0zznNu9ukCw/pics/0zznNu9ukCw2439567.jpg'}, {'end': 2962.33, 'src': 'embed', 'start': 2934.537, 'weight': 9, 'content': [{'end': 2939.959, 'text': 'Now the gray color pie represents your consumer segment which made the highest amount of profit.', 'start': 2934.537, 'duration': 5.422}, {'end': 2943.14, 'text': 'You can also validate it from the pivot table.', 'start': 2940.539, 'duration': 2.601}, {'end': 2947.062, 'text': 'While the blue segment which is actually home office made the lowest amount of profit.', 'start': 2943.881, 'duration': 3.181}, {'end': 2954.325, 'text': "Now let's remove this field from here and right click and select hide all field buttons on the chart.", 'start': 2947.861, 'duration': 6.464}, {'end': 2962.33, 'text': 'Now one thing you can do is you can edit the chart title here by default it has shown total.', 'start': 2955.186, 'duration': 7.144}], 'summary': 'Gray segment generated highest profit, blue segment the lowest. chart title can be edited.', 'duration': 27.793, 'max_score': 2934.537, 'thumbnail': 'https://coursnap.oss-ap-southeast-1.aliyuncs.com/video-capture/0zznNu9ukCw/pics/0zznNu9ukCw2934537.jpg'}, {'end': 3107.616, 'src': 'embed', 'start': 3073.367, 'weight': 6, 'content': [{'end': 3088.457, 'text': "let's drag the quantity column under values and I'll choose the ship mode field under columns and let's select subcategory under rows.", 'start': 3073.367, 'duration': 15.09}, {'end': 3091.079, 'text': 'So, I have my pivot table ready.', 'start': 3089.518, 'duration': 1.561}, {'end': 3094.549, 'text': "Now based on this pivot table, let's create a line chart.", 'start': 3092.148, 'duration': 2.401}, {'end': 3100.473, 'text': "I'll go to the insert tab, click on recommended charts and let's go to line chart.", 'start': 3094.91, 'duration': 5.563}, {'end': 3101.973, 'text': 'All right.', 'start': 3101.633, 'duration': 0.34}, {'end': 3107.616, 'text': 'You can see the preview here and the legends which show the shipment mode.', 'start': 3102.834, 'duration': 4.782}], 'summary': 'Pivot table created with ship mode and subcategory. line chart with shipment mode as legends.', 'duration': 34.249, 'max_score': 3073.367, 'thumbnail': 'https://coursnap.oss-ap-southeast-1.aliyuncs.com/video-capture/0zznNu9ukCw/pics/0zznNu9ukCw3073367.jpg'}, {'end': 3590.286, 'src': 'embed', 'start': 3556.869, 'weight': 4, 'content': [{'end': 3559.61, 'text': "Okay Let's edit the color of the chart title.", 'start': 3556.869, 'duration': 2.741}, {'end': 3577.016, 'text': "I'll make it as white and let's say we'll choose the color as So this one, okay.", 'start': 3559.63, 'duration': 17.386}, {'end': 3583.781, 'text': 'Now let me go ahead and remove the legend here and just delete it.', 'start': 3577.817, 'duration': 5.964}, {'end': 3584.742, 'text': 'All right.', 'start': 3584.382, 'duration': 0.36}, {'end': 3590.286, 'text': 'So we have our field map ready, which shows profit by each state.', 'start': 3585.483, 'duration': 4.803}], 'summary': 'Edited chart title color to white, removed legend, created field map showing profit by state.', 'duration': 33.417, 'max_score': 3556.869, 'thumbnail': 'https://coursnap.oss-ap-southeast-1.aliyuncs.com/video-capture/0zznNu9ukCw/pics/0zznNu9ukCw3556869.jpg'}, {'end': 3953.368, 'src': 'embed', 'start': 3884.597, 'weight': 0, 'content': [{'end': 3894.337, 'text': "let me click on OK, all right, let's drag this a bit here on to the right and I'll show you how you can use this.", 'start': 3884.597, 'duration': 9.74}, {'end': 3903.083, 'text': "Let's first choose years instead of months and let me reduce the size a bit.", 'start': 3895.298, 'duration': 7.785}, {'end': 3911.568, 'text': "Okay Now another thing to do here is let me right click and I'll go to report connections.", 'start': 3904.224, 'duration': 7.344}, {'end': 3917.152, 'text': "Here I'll select all my pivot tables instead of just one,", 'start': 3912.329, 'duration': 4.823}, {'end': 3926.681, 'text': 'so that any manipulation you do In the order year it will reflect for all the tables or the charts we have on the dashboard.', 'start': 3917.152, 'duration': 9.529}, {'end': 3927.821, 'text': 'I click on OK.', 'start': 3927.121, 'duration': 0.7}, {'end': 3934.403, 'text': "Now that we have seen how to add a timeline, I'll reduce this a bit.", 'start': 3930.022, 'duration': 4.381}, {'end': 3937.244, 'text': "Let's now add a few slicers.", 'start': 3935.523, 'duration': 1.721}, {'end': 3940.925, 'text': "Let's click on any of the charts.", 'start': 3938.784, 'duration': 2.141}, {'end': 3944.066, 'text': "I'll go to insert, click on slicer.", 'start': 3941.885, 'duration': 2.181}, {'end': 3948.707, 'text': "Now let's add a region slicer.", 'start': 3946.226, 'duration': 2.481}, {'end': 3950.107, 'text': "I'll click on OK.", 'start': 3948.727, 'duration': 1.38}, {'end': 3953.368, 'text': "And let's take it to the right.", 'start': 3951.667, 'duration': 1.701}], 'summary': 'Demonstrates adding timeline, pivot tables, and slicers to a dashboard for enhanced data visualization and analysis.', 'duration': 68.771, 'max_score': 3884.597, 'thumbnail': 'https://coursnap.oss-ap-southeast-1.aliyuncs.com/video-capture/0zznNu9ukCw/pics/0zznNu9ukCw3884597.jpg'}, {'end': 4096.846, 'src': 'embed', 'start': 4060.978, 'weight': 1, 'content': [{'end': 4069.385, 'text': 'Similarly, if you want to see the sales and profit for a particular region, you can do that too.', 'start': 4060.978, 'duration': 8.407}, {'end': 4080.513, 'text': "For example, let me just bring this region slicer here and let's say you want to know the sales and profit only for the east region.", 'start': 4070.265, 'duration': 10.248}, {'end': 4083.556, 'text': 'You see here, it shows only for the east region.', 'start': 4081.334, 'duration': 2.222}, {'end': 4092.583, 'text': 'and suppose you want to see, for east and west region also, you can see it changes here.', 'start': 4084.537, 'duration': 8.046}, {'end': 4096.846, 'text': 'okay, we just cancel this.', 'start': 4092.583, 'duration': 4.263}], 'summary': 'Data can be filtered by region to view sales and profits, e.g. for the east region.', 'duration': 35.868, 'max_score': 4060.978, 'thumbnail': 'https://coursnap.oss-ap-southeast-1.aliyuncs.com/video-capture/0zznNu9ukCw/pics/0zznNu9ukCw4060978.jpg'}], 'start': 2364.622, 'title': 'Data analysis techniques', 'summary': 'Covers daily scrum, business analyst insights, excel data analysis including sales trends, pivot tables, and visualization through charts, creating field maps for sales and profits, and building a sales dashboard with pivot charts.', 'chapters': [{'end': 2673.842, 'start': 2364.622, 'title': 'Daily scrum and business analyst insights', 'summary': 'Discusses the concept of daily scrum, the average annual salary of business analysts, companies hiring for business analysts, top business analysis tools and software used, and a demo on business analyst training.', 'duration': 309.22, 'highlights': ['Daily Scrum is a short 15 to 20 minutes meeting to ensure team alignment.', 'Average annual salary of a business analyst in the United States is $68,973, while in India it can be nearly 6 lakh rupees per annum.', 'Companies hiring for business analysts include Paytm, Cognizant, Shell, Cisco, Google, Dell, Ernst & Young, Oracle, and Barclays.', 'Top business analysis tools and software used include Microsoft Excel, Trello, MySQL, Microsoft SQL Server, PostgreSQL, Zira, and Tableau.', 'Business analysts often work on structured data using Excel to create reports and dashboards, analyze trends, and make critical decisions.']}, {'end': 3342.465, 'start': 2675.322, 'title': 'Excel data analysis techniques', 'summary': 'Covers the detailed analysis of sales data in excel, including trends, pivot table creation, visualization through bar, line, and pie charts, analysis of highest and lowest profits by segment, and creating a field map to identify the states with the highest and lowest sales.', 'duration': 667.143, 'highlights': ['The chapter covers the detailed analysis of sales data in Excel, including trends, pivot table creation, visualization through bar, line, and pie charts, analysis of highest and lowest profits by segment, and creating a field map to identify the states with the highest and lowest sales. Detailed analysis of sales data, including trends and pivot table creation, visualization through bar, line, and pie charts, analysis of highest and lowest profits by segment, creating a field map to identify states with highest and lowest sales', 'California state made the highest amount of sales, while North Dakota made the lowest amount of sales, as shown in the field map. California state with highest sales, North Dakota with lowest sales', 'The consumer segment met the highest amount of profit, while the home office segment made the lowest amount of profit, as shown in the pivot table and pie chart. Consumer segment with highest profit, home office segment with lowest profit', 'The yellow line for the west region showed a decline in sales from 2014 to 2015, gradually increasing from 2015 to 2017 onwards, while the orange/red line for the east region showed continuous sales increase. Sales trend for west and east regions']}, {'end': 3590.286, 'start': 3344.488, 'title': 'Field map for sales and profits', 'summary': 'Discusses creating a field map to visualize sales and profits by state in the united states, highlighting california as the state with the highest sales and demonstrating the process for creating a similar map for profits using a pivot table and chart customization.', 'duration': 245.798, 'highlights': ["The states that are in dark blue, let's say California made the highest amount of sales.", 'You can see the California state is shaded in dark, which means it made the highest amount of sales.', 'You can see it will show the sales values for each of the states.', 'You can analyze which states made the highest amount of profit and the state that made the lowest amount of profit.', "Let's go to the design tab and remove the subtotals. I'll select do not show subtotals."]}, {'end': 3997.299, 'start': 3591.907, 'title': 'Creating sales dashboard with pivot charts', 'summary': 'Covers the process of building a sales dashboard, including steps like adding text, inserting pivot charts, adjusting chart sizes, and adding slicers for filtering data.', 'duration': 405.392, 'highlights': ['The chapter covers the process of building a sales dashboard It includes creating a text box, inserting pivot charts, and adding slicers for filtering data.', 'Steps for adding text and adjusting its appearance are demonstrated The speaker shows how to create a text box, change its size, color, text content, font, and alignment.', 'Process of inserting pivot charts and adjusting their sizes is explained The presenter demonstrates copying and pasting pivot charts onto a dashboard sheet, adjusting their sizes, and modifying chart titles.', 'Adding slicers for filtering data is illustrated The process of adding slicers for filtering data based on order date, region, and segment is demonstrated, along with the use of timeline for filtering.']}, {'end': 4201.473, 'start': 3998.339, 'title': 'Sales and profit data visualization', 'summary': 'Demonstrates how to filter and visualize sales and profit data for specific years, regions, and segments using slicers, with the ability to dynamically update charts based on the selection.', 'duration': 203.134, 'highlights': ['The chapter explains how to filter sales and profit data for specific years on a timeline, with the ability to select multiple years and dynamically update the charts accordingly.', 'It also demonstrates filtering sales and profit data for specific regions using slicers, with the ability to select and view data for multiple regions and dynamically update the charts.', 'The chapter highlights the process of filtering sales, unit sold, and profit data for specific segments using slicers, with the ability to select and view data for multiple segments and dynamically update the charts.']}], 'duration': 1836.851, 'thumbnail': 'https://coursnap.oss-ap-southeast-1.aliyuncs.com/video-capture/0zznNu9ukCw/pics/0zznNu9ukCw2364622.jpg', 'highlights': ['Companies hiring for business analysts include Paytm, Cognizant, Shell, Cisco, Google, Dell, Ernst & Young, Oracle, and Barclays.', 'Top business analysis tools and software used include Microsoft Excel, Trello, MySQL, Microsoft SQL Server, PostgreSQL, Zira, and Tableau.', 'Average annual salary of a business analyst in the United States is $68,973, while in India it can be nearly 6 lakh rupees per annum.', 'Daily Scrum is a short 15 to 20 minutes meeting to ensure team alignment.', 'Business analysts often work on structured data using Excel to create reports and dashboards, analyze trends, and make critical decisions.', 'California state made the highest amount of sales, while North Dakota made the lowest amount of sales, as shown in the field map.', 'The consumer segment met the highest amount of profit, while the home office segment made the lowest amount of profit, as shown in the pivot table and pie chart.', 'The yellow line for the west region showed a decline in sales from 2014 to 2015, gradually increasing from 2015 to 2017 onwards, while the orange/red line for the east region showed continuous sales increase.', 'The chapter covers the process of building a sales dashboard It includes creating a text box, inserting pivot charts, and adding slicers for filtering data.', 'The chapter explains how to filter sales and profit data for specific years on a timeline, with the ability to select multiple years and dynamically update the charts accordingly.']}, {'end': 5180.925, 'segs': [{'end': 4308.679, 'src': 'embed', 'start': 4243.459, 'weight': 3, 'content': [{'end': 4250.065, 'text': 'They are part of the business operation and work closely with the technology team to improve the quality of the services being delivered.', 'start': 4243.459, 'duration': 6.606}, {'end': 4254.009, 'text': 'They also assist in the integration and testing of new solutions.', 'start': 4250.506, 'duration': 3.503}, {'end': 4257.553, 'text': "Now let's talk about the job description of a data analyst.", 'start': 4254.81, 'duration': 2.743}, {'end': 4263.459, 'text': 'With the rapid increase in data generation today, the term data analyst has found its prominence.', 'start': 4258.615, 'duration': 4.844}, {'end': 4269.004, 'text': 'A data analyst collects, processes, and performs analysis of large data sets.', 'start': 4264.38, 'duration': 4.624}, {'end': 4272.467, 'text': 'Every business generates data in several formats.', 'start': 4269.845, 'duration': 2.622}, {'end': 4280.635, 'text': 'This data can be in the form of customer information and feedback, log files, transaction data, marketing research, and so on.', 'start': 4272.968, 'duration': 7.667}, {'end': 4286.079, 'text': 'It is the duty of a data analyst to transform these business data into valuable insights.', 'start': 4281.275, 'duration': 4.804}, {'end': 4292.825, 'text': 'Some of the problems that can be addressed are how to improve a business, how to provide good customer experience,', 'start': 4286.6, 'duration': 6.225}, {'end': 4297.889, 'text': 'what would be the ideal price for a new product, how to reduce transportation costs, and so on.', 'start': 4292.825, 'duration': 5.064}, {'end': 4302.915, 'text': 'Data analysts deal with data handling, data modeling, and reporting.', 'start': 4299.073, 'duration': 3.842}, {'end': 4308.679, 'text': 'With this brief understanding of the job description for a business analyst and a data analyst,', 'start': 4303.556, 'duration': 5.123}], 'summary': 'Business analysts improve service quality; data analysts process and analyze large data sets to derive valuable insights for business decisions.', 'duration': 65.22, 'max_score': 4243.459, 'thumbnail': 'https://coursnap.oss-ap-southeast-1.aliyuncs.com/video-capture/0zznNu9ukCw/pics/0zznNu9ukCw4243459.jpg'}, {'end': 4388.604, 'src': 'embed', 'start': 4328.109, 'weight': 0, 'content': [{'end': 4333.131, 'text': 'BAs communicate and work closely with the development team to design the solution for a problem.', 'start': 4328.109, 'duration': 5.022}, {'end': 4341.555, 'text': "They ensure that the development team doesn't spend their time understanding the stakeholders' requirements and often give iterative feedback on the solution being developed.", 'start': 4333.631, 'duration': 7.924}, {'end': 4346.437, 'text': 'They check and validate if the project is running fine with the help of user acceptance testing.', 'start': 4342.095, 'duration': 4.342}, {'end': 4354.687, 'text': 'They also verify if the solution being worked on is in line with the requirements and ensure that the final product satisfies the user expectations.', 'start': 4347.057, 'duration': 7.63}, {'end': 4358.191, 'text': 'BAs assess the functional and non-functional requirements.', 'start': 4355.288, 'duration': 2.903}, {'end': 4362.056, 'text': 'A business analyst documents the project findings and results.', 'start': 4358.972, 'duration': 3.084}, {'end': 4366.021, 'text': 'They present the project conclusions to the stakeholders and clients,', 'start': 4362.737, 'duration': 3.284}, {'end': 4370.266, 'text': 'along with delivering maintenance reports and building visualizations to make decisions.', 'start': 4366.021, 'duration': 4.245}, {'end': 4374.071, 'text': "Now, let's take a look at the responsibilities of a data analyst.", 'start': 4370.967, 'duration': 3.104}, {'end': 4380.519, 'text': "First and foremost, a data analyst must identify and understand the organization's goal and requirements.", 'start': 4374.732, 'duration': 5.787}, {'end': 4384.542, 'text': 'This helps to plan and streamline the analysis process.', 'start': 4381.46, 'duration': 3.082}, {'end': 4388.604, 'text': 'Data analysts collect data from various heterogeneous sources.', 'start': 4385.202, 'duration': 3.402}], 'summary': 'Business analysts ensure solution alignment with requirements, conduct user acceptance testing, and present project conclusions, while data analysts collect and analyze diverse data sources to meet organizational goals.', 'duration': 60.495, 'max_score': 4328.109, 'thumbnail': 'https://coursnap.oss-ap-southeast-1.aliyuncs.com/video-capture/0zznNu9ukCw/pics/0zznNu9ukCw4328109.jpg'}, {'end': 4438.719, 'src': 'embed', 'start': 4409.591, 'weight': 16, 'content': [{'end': 4415.193, 'text': 'Hence, it is crucial to clean the collected data and remove invalid values to make it ready for analysis.', 'start': 4409.591, 'duration': 5.602}, {'end': 4423.495, 'text': 'They use a variety of analytical, statistical and business intelligence tools to spot trends and patterns in complex data sets,', 'start': 4415.893, 'duration': 7.602}, {'end': 4427.196, 'text': 'discover hidden insights and prepare summary reports for the leadership team.', 'start': 4423.495, 'duration': 3.701}, {'end': 4431.957, 'text': 'They also use programming languages for data mining and data manipulation.', 'start': 4428.076, 'duration': 3.881}, {'end': 4438.719, 'text': "Now it's time for us to understand the difference between a business analyst and a data analyst based on the skill set they possess.", 'start': 4432.857, 'duration': 5.862}], 'summary': 'Data analysts use various tools to analyze complex data and generate insights for leadership teams.', 'duration': 29.128, 'max_score': 4409.591, 'thumbnail': 'https://coursnap.oss-ap-southeast-1.aliyuncs.com/video-capture/0zznNu9ukCw/pics/0zznNu9ukCw4409591.jpg'}, {'end': 4500.535, 'src': 'embed', 'start': 4473.244, 'weight': 5, 'content': [{'end': 4478.409, 'text': 'BAs use SQL to retrieve, manipulate, and analyze data stored in relational databases.', 'start': 4473.244, 'duration': 5.165}, {'end': 4483.003, 'text': "Critical thinking skills are important to understand customers' business needs.", 'start': 4479.161, 'duration': 3.842}, {'end': 4489.748, 'text': 'It allows them to distinguish between requirements that add value to the business and those that should be given a lower priority.', 'start': 4483.584, 'duration': 6.164}, {'end': 4493.33, 'text': 'BAs should find different ways to address each challenge.', 'start': 4490.548, 'duration': 2.782}, {'end': 4500.535, 'text': 'Data visualization is a key skill for BAs to build interactive dashboards and reports to convey the outcomes of a project.', 'start': 4494.111, 'duration': 6.424}], 'summary': 'Bas use sql for data analysis, critical thinking to understand business needs, and data visualization for interactive reports.', 'duration': 27.291, 'max_score': 4473.244, 'thumbnail': 'https://coursnap.oss-ap-southeast-1.aliyuncs.com/video-capture/0zznNu9ukCw/pics/0zznNu9ukCw4473244.jpg'}], 'start': 4201.873, 'title': 'Comparing business analyst vs. data analyst', 'summary': 'Compares the responsibilities, skills, and tasks of business analysts and data analysts, highlighting key skills, average salaries, companies hiring for each role, and essential insights for business analytics interviews.', 'chapters': [{'end': 4431.957, 'start': 4201.873, 'title': 'Comparing business analyst vs. data analyst', 'summary': 'Compares the job roles of a business analyst and a data analyst, highlighting their responsibilities, skills, and tasks, including gathering and analyzing data, identifying business goals, and delivering data-driven solutions.', 'duration': 230.084, 'highlights': ['A business analyst bridges the gap between IT and business teams, using data analytics to assess processes and deliver data-driven solutions, generating reports for executives and stakeholders. Data analytics, data-driven solutions, reports for executives and stakeholders', 'A data analyst collects, processes, and performs analysis of large data sets, transforms business data into valuable insights, and uses analytical, statistical, and business intelligence tools to spot trends and patterns. Analysis of large data sets, valuable insights, analytical and statistical tools', 'Business analysts identify business goals, understand organization problems, come up with cost-effective solutions, communicate and work closely with the development team, and ensure project alignment with requirements. Identifying business goals, cost-effective solutions, project alignment with requirements', "Data analysts identify and understand organization's goals and requirements, collect data from various sources, filter and clean data, use analytical tools to spot trends, and prepare summary reports for leadership teams. Collecting data from various sources, data filtering and cleaning, preparing summary reports"]}, {'end': 4846.511, 'start': 4432.857, 'title': 'Business analyst vs data analyst skills', 'summary': 'Discusses the skills, salary, companies hiring, and career growth opportunities for business analysts and data analysts, emphasizing key skills such as excel, sql, programming, data visualization, and communication, and highlights the average salaries and major companies hiring for each role.', 'duration': 413.654, 'highlights': ['Business analysts use Excel for various calculations, data analysis, and customer discounts, and need programming skills in R and Python. Business analysts utilize Excel for various calculations, data analysis, and customer discounts, and require programming skills in R and Python for complex tasks and faster data analysis.', 'Data analysts work with structured data, use SQL queries, and create data visualizations using Python, R, and libraries like Matplotlib and Seaborn. Data analysts work with structured data, utilize SQL queries, and create data visualizations using Python, R, and libraries like Matplotlib and Seaborn for exploratory data analysis.', "The average salary for a business analyst in the US is $69,000, while in India, it's nearly 6 lakh rupees per annum. The average salary for a business analyst in the US is $69,000, and in India, it's nearly 6 lakh rupees per annum.", "In the US, a data analyst earns an average salary of $60,710 per annum, and in India, it's around 4,24,000 rupees per annum. In the US, a data analyst earns an average salary of $60,710 per annum, and in India, it's around 4,24,000 rupees per annum.", 'Major companies hiring business analysts include Oracle, Google, Cognizant, Amazon, Ernest & Young, IBM, Dell, and Cisco. Major companies hiring business analysts include Oracle, Google, Cognizant, Amazon, Ernest & Young, IBM, Dell, and Cisco.', 'Companies hiring data analysts include Twitter, Google, Facebook, Amazon, Shell, Tesla, Apple, and Equifax. Companies hiring data analysts include Twitter, Google, Facebook, Amazon, Shell, Tesla, Apple, and Equifax.', 'Skills covered in the business analysis program by SimplyLearn include strategy analysis, data visualization, and statistical analysis using Excel and SQL database. The business analysis program by SimplyLearn covers skills such as strategy analysis, data visualization, and statistical analysis using Excel and SQL database.', 'The postgraduate program in Data Analytics offered by SimplyLearn covers skills such as Statistical Analysis using Excel, Data Analysis in Python and R, and Data Visualization using Tableau and Power BI. The postgraduate program in Data Analytics offered by SimplyLearn covers skills such as Statistical Analysis using Excel, Data Analysis in Python and R, and Data Visualization using Tableau and Power BI.']}, {'end': 5180.925, 'start': 4847.871, 'title': 'Business analytics interview insights', 'summary': 'Covers essential insights for business analytics interviews, including the differentiation between risk and issue, key tools for business analysts, stages of a business project, feasibility study, business model analysis, and requirements vs. needs.', 'duration': 333.054, 'highlights': ["The differentiation between risk and issue, with risk being a potential problem that can be predicted and an issue being something that's actually happening, is fundamental in business analytics interviews. Understanding the differentiation between risk and issue is crucial in business analytics, as it impacts proactive response planning and reactive responses to potential problems. This foundational concept is essential for business analysts to grasp.", 'The key tools for business analysts include Excel, Python, SQL, Tableau, Azure, and Balsamiq, with a strong emphasis on the importance of understanding platform proficiencies and being open to company-sponsored certifications. Proficiency in essential tools such as Excel, Python, SQL, Tableau, Azure, and Balsamiq is highlighted, underscoring their importance in business analytics roles. Additionally, the emphasis on platform proficiencies and company-sponsored certifications is crucial for success in this field.', 'Understanding the various stages of a business project, including initiation, planning, execution, control and monitoring, and closure, is essential for business analysts to delve into more detailed aspects beyond just knowing the list. A comprehensive understanding of the stages of a business project, from initiation to closure, is crucial for business analysts, highlighting the need for in-depth knowledge beyond surface-level familiarity. This knowledge is vital for successful project management in business analytics.', 'A feasibility study is integral in gauging the success rate of proposed business solutions and discovering new business opportunities, making it a central aspect in business plans and a key consideration for business analysts. The significance of feasibility studies in evaluating proposed business solutions and identifying new opportunities is emphasized, underlining its central role in business plans and its importance for business analysts to comprehend and apply in their roles.', 'Business model analysis plays a critical role in assessing the financial, economic, and social viability of businesses, particularly in niche areas such as analyzing ski resorts, highlighting the intricate knowledge required for this aspect of business analytics. The critical role of business model analysis in evaluating the viability of businesses, especially in specialized sectors like ski resort analysis, underscores the specialized expertise and comprehensive understanding needed for business analysts to excel in this niche aspect of business analytics.', 'The differentiation between requirements and needs, with requirements being targeted solutions to achieve business objectives and needs representing high-level representations of terms and results, is essential for business analysts to grasp and apply in practical scenarios. Understanding the differentiation between requirements and needs is crucial for business analysts, as it delineates the targeted solutions required to achieve business objectives and the high-level representations of terms and results. This distinction is fundamental for effective business analysis and decision-making.', 'Utilizing Excel for tasks such as extracting city and state names from zip codes, as well as using functions like SUMIF and filters for data analysis, underscores the fundamental role of Excel proficiency in business analytics, regardless of other software packages. The fundamental role of Excel proficiency in business analytics is highlighted through practical tasks like extracting city and state names from zip codes and using functions like SUMIF and filters for data analysis. This emphasizes the enduring importance of Excel in business analytics, irrespective of other software packages.']}], 'duration': 979.052, 'thumbnail': 'https://coursnap.oss-ap-southeast-1.aliyuncs.com/video-capture/0zznNu9ukCw/pics/0zznNu9ukCw4201873.jpg', 'highlights': ['Data analysts use analytical, statistical, and business intelligence tools to spot trends and patterns.', 'Business analysts identify business goals, understand organization problems, and come up with cost-effective solutions.', "Data analysts identify and understand organization's goals and requirements, collect data from various sources, and prepare summary reports for leadership teams.", 'Business analysts utilize Excel for various calculations, data analysis, and customer discounts, and require programming skills in R and Python for complex tasks and faster data analysis.', 'Data analysts work with structured data, utilize SQL queries, and create data visualizations using Python, R, and libraries like Matplotlib and Seaborn for exploratory data analysis.', "The average salary for a business analyst in the US is $69,000, and in India, it's nearly 6 lakh rupees per annum.", "In the US, a data analyst earns an average salary of $60,710 per annum, and in India, it's around 4,24,000 rupees per annum.", 'Major companies hiring business analysts include Oracle, Google, Cognizant, Amazon, Ernest & Young, IBM, Dell, and Cisco.', 'Companies hiring data analysts include Twitter, Google, Facebook, Amazon, Shell, Tesla, Apple, and Equifax.', 'The business analysis program by SimplyLearn covers skills such as strategy analysis, data visualization, and statistical analysis using Excel and SQL database.', 'The postgraduate program in Data Analytics offered by SimplyLearn covers skills such as Statistical Analysis using Excel, Data Analysis in Python and R, and Data Visualization using Tableau and Power BI.', 'Understanding the differentiation between risk and issue is crucial in business analytics, as it impacts proactive response planning and reactive responses to potential problems.', 'Proficiency in essential tools such as Excel, Python, SQL, Tableau, Azure, and Balsamiq is highlighted, underscoring their importance in business analytics roles.', 'A comprehensive understanding of the stages of a business project, from initiation to closure, is crucial for business analysts, highlighting the need for in-depth knowledge beyond surface-level familiarity.', 'The significance of feasibility studies in evaluating proposed business solutions and identifying new opportunities is emphasized, underlining its central role in business plans and its importance for business analysts to comprehend and apply in their roles.', 'The critical role of business model analysis in evaluating the viability of businesses, especially in specialized sectors like ski resort analysis, underscores the specialized expertise and comprehensive understanding needed for business analysts to excel in this niche aspect of business analytics.', 'Understanding the differentiation between requirements and needs is crucial for business analysts, as it delineates the targeted solutions required to achieve business objectives and the high-level representations of terms and results.', 'The fundamental role of Excel proficiency in business analytics is highlighted through practical tasks like extracting city and state names from zip codes and using functions like SUMIF and filters for data analysis.']}, {'end': 6534.515, 'segs': [{'end': 5330.507, 'src': 'embed', 'start': 5298.622, 'weight': 1, 'content': [{'end': 5299.943, 'text': "We're going to start analyzing things.", 'start': 5298.622, 'duration': 1.321}, {'end': 5307.757, 'text': 'And the risk management is a technique wherein risks are identified, avoided, reduced, assessed, and mitigated.', 'start': 5300.455, 'duration': 7.302}, {'end': 5316.939, 'text': "Having the appropriate risk management plan decreases losses and optimizes decision making to enhance the organization's performance.", 'start': 5308.537, 'duration': 8.402}, {'end': 5322.484, 'text': 'How does risk mitigation differ from risk avoidance? Risk mitigation.', 'start': 5317.459, 'duration': 5.025}, {'end': 5325.886, 'text': 'Risk mitigation is a plan to be executed when a risk occurs.', 'start': 5322.524, 'duration': 3.362}, {'end': 5330.507, 'text': 'When a risk occurs, there might be a business impact and the cost incurred is high.', 'start': 5326.346, 'duration': 4.161}], 'summary': 'Risk management identifies, avoids, reduces, assesses, and mitigates risks to decrease losses and optimize decision making.', 'duration': 31.885, 'max_score': 5298.622, 'thumbnail': 'https://coursnap.oss-ap-southeast-1.aliyuncs.com/video-capture/0zznNu9ukCw/pics/0zznNu9ukCw5298622.jpg'}, {'end': 5397.806, 'src': 'embed', 'start': 5368.133, 'weight': 7, 'content': [{'end': 5374.036, 'text': 'Risk in this case can mean loss of money spent, badly spent on equipment, certifications.', 'start': 5368.133, 'duration': 5.903}, {'end': 5377.178, 'text': "There's all kinds of areas where you want to mitigate and avoid risk.", 'start': 5374.056, 'duration': 3.122}, {'end': 5379.957, 'text': 'What are project deliverables?', 'start': 5378.396, 'duration': 1.561}, {'end': 5388.561, 'text': 'Project deliverables represent a collection of measurable services and goods that are to be delivered to the end user in the project completion stage.', 'start': 5380.457, 'duration': 8.104}, {'end': 5390.382, 'text': 'This is so important.', 'start': 5389.462, 'duration': 0.92}, {'end': 5397.806, 'text': 'We start talking about any of our, when you sign a contract, any of our online contracts, cloud computing, all of that.', 'start': 5390.402, 'duration': 7.404}], 'summary': 'Mitigate and avoid risk to deliver measurable project goods and services.', 'duration': 29.673, 'max_score': 5368.133, 'thumbnail': 'https://coursnap.oss-ap-southeast-1.aliyuncs.com/video-capture/0zznNu9ukCw/pics/0zznNu9ukCw5368133.jpg'}, {'end': 5441.751, 'src': 'embed', 'start': 5413.316, 'weight': 6, 'content': [{'end': 5417.198, 'text': 'Two of our biggest or most basic models used today.', 'start': 5413.316, 'duration': 3.882}, {'end': 5420.62, 'text': 'The Agile model, which has slowly taken over, especially in software.', 'start': 5417.778, 'duration': 2.842}, {'end': 5426.242, 'text': 'The Agile model is adaptable to requirement changes and has an incremental approach.', 'start': 5421.4, 'duration': 4.842}, {'end': 5431.344, 'text': 'In the Agile model, testing can be performed in every phase.', 'start': 5427.422, 'duration': 3.922}, {'end': 5438.427, 'text': 'With the Waterfall model, the Waterfall model is referred as a structured software development methodology.', 'start': 5432.725, 'duration': 5.702}, {'end': 5441.751, 'text': 'Changes in requirements are difficult to implement.', 'start': 5439.13, 'duration': 2.621}], 'summary': 'Comparison of agile and waterfall models for software development.', 'duration': 28.435, 'max_score': 5413.316, 'thumbnail': 'https://coursnap.oss-ap-southeast-1.aliyuncs.com/video-capture/0zznNu9ukCw/pics/0zznNu9ukCw5413316.jpg'}, {'end': 5503.842, 'src': 'embed', 'start': 5462.717, 'weight': 9, 'content': [{'end': 5463.937, 'text': 'This is something that we can build.', 'start': 5462.717, 'duration': 1.22}, {'end': 5466.578, 'text': "It doesn't have to make major changes, but it better work correctly.", 'start': 5463.997, 'duration': 2.581}, {'end': 5473.661, 'text': 'Describe the different analytical techniques like Moscow and SWOT.', 'start': 5469.178, 'duration': 4.483}, {'end': 5480.066, 'text': "Moscow analysis, it is a prioritization technique that highlights a requirement's significance.", 'start': 5474.862, 'duration': 5.204}, {'end': 5489.674, 'text': 'Question like, is it a must-have or a should-have? Could the demand be made better? Would a specific idea be useful in the future? Are asked here.', 'start': 5480.587, 'duration': 9.087}, {'end': 5498.659, 'text': 'In the SWOT analysis, it discovers the strengths and weaknesses of a firm and evaluates them as opportunities and threats.', 'start': 5491.175, 'duration': 7.484}, {'end': 5503.842, 'text': 'SWOT analysis consists of strengths, weaknesses, opportunities, and threats.', 'start': 5499.66, 'duration': 4.182}], 'summary': "Analytical techniques like moscow and swot prioritize and evaluate requirements and firm's characteristics.", 'duration': 41.125, 'max_score': 5462.717, 'thumbnail': 'https://coursnap.oss-ap-southeast-1.aliyuncs.com/video-capture/0zznNu9ukCw/pics/0zznNu9ukCw5462717.jpg'}, {'end': 5630.039, 'src': 'embed', 'start': 5571.623, 'weight': 3, 'content': [{'end': 5580.572, 'text': 'What is the best approach to work with difficult stakeholders? A business analyst interacts with many professionals during his work.', 'start': 5571.623, 'duration': 8.949}, {'end': 5585.774, 'text': 'Few of the best approaches to take into consideration while working with difficult stakeholders are.', 'start': 5581.152, 'duration': 4.622}, {'end': 5589.115, 'text': 'Before I even jump into this,', 'start': 5587.075, 'duration': 2.04}, {'end': 5596.839, 'text': 'I have a friend who is working with some very high-end individuals who took their private plane and he was supposed to meet them in location.', 'start': 5589.115, 'duration': 7.724}, {'end': 5601.301, 'text': 'When he arrived, they had been in a fistfight while on their private plane.', 'start': 5597.579, 'duration': 3.722}, {'end': 5605.423, 'text': 'The stakeholders had so much difficulty with some particular aspect going on.', 'start': 5601.461, 'duration': 3.962}, {'end': 5609.63, 'text': 'So difficulties are going to arise, hopefully not at that level, but things happen.', 'start': 5606.229, 'duration': 3.401}, {'end': 5616.513, 'text': 'And of course, you want to just assume that work with anybody, but you want to listen patiently to the stakeholders point of view,', 'start': 5610.571, 'duration': 5.942}, {'end': 5625.897, 'text': 'respond to them politely and diplomatically, have a one-on-one discussion to make things more precise, comprehend their worries and be transparent.', 'start': 5616.513, 'duration': 9.384}, {'end': 5630.039, 'text': 'Make sure to continuously engage such difficult stakeholders.', 'start': 5626.818, 'duration': 3.221}], 'summary': 'Engage difficult stakeholders by listening, responding politely, and engaging continuously.', 'duration': 58.416, 'max_score': 5571.623, 'thumbnail': 'https://coursnap.oss-ap-southeast-1.aliyuncs.com/video-capture/0zznNu9ukCw/pics/0zznNu9ukCw5571623.jpg'}, {'end': 5870.688, 'src': 'embed', 'start': 5839.793, 'weight': 4, 'content': [{'end': 5842.155, 'text': 'Select the revenue and profit column under values.', 'start': 5839.793, 'duration': 2.362}, {'end': 5847.598, 'text': 'Right-click on the revenue value under show value as, select percentage of grand total.', 'start': 5842.856, 'duration': 4.742}, {'end': 5851.94, 'text': 'Right-click on a profit value under show value as, choose percentage of grand total.', 'start': 5848.158, 'duration': 3.782}, {'end': 5853.321, 'text': 'And you can see here,', 'start': 5852.76, 'duration': 0.561}, {'end': 5862.224, 'text': 'when we do that we end up with cosmetics made a 14.03% contributions to the total revenue and an 18.94% contribution to the total profit.', 'start': 5853.321, 'duration': 8.903}, {'end': 5870.688, 'text': 'How do you create a dual axes chart in Tableau? Drag the order data onto columns and convert it into continuous year.', 'start': 5862.805, 'duration': 7.883}], 'summary': 'In tableau, cosmetics contributed 14.03% to total revenue and 18.94% to total profit. to create a dual axes chart, drag order data onto columns and convert it into continuous year.', 'duration': 30.895, 'max_score': 5839.793, 'thumbnail': 'https://coursnap.oss-ap-southeast-1.aliyuncs.com/video-capture/0zznNu9ukCw/pics/0zznNu9ukCw5839793.jpg'}, {'end': 6071.087, 'src': 'embed', 'start': 6040.21, 'weight': 0, 'content': [{'end': 6043.591, 'text': 'There are several techniques used for requirement prioritization.', 'start': 6040.21, 'duration': 3.381}, {'end': 6046.533, 'text': 'We had Moscow technique, we mentioned that earlier.', 'start': 6044.212, 'duration': 2.321}, {'end': 6057.261, 'text': 'The requirements are grouped based on must, mandatory, should, high priority, could, not necessary but preferred, and would, suggested for the future.', 'start': 6046.937, 'duration': 10.324}, {'end': 6060.362, 'text': 'Ranking method.', 'start': 6059.622, 'duration': 0.74}, {'end': 6065.344, 'text': 'Here you give each requirement a distinct numerical value based on its importance.', 'start': 6060.543, 'duration': 4.801}, {'end': 6071.087, 'text': 'Of course, this is at 100.', 'start': 6066.805, 'duration': 4.282}], 'summary': 'Various techniques, including moscow and ranking, are used to prioritize requirements based on importance and future suggestions.', 'duration': 30.877, 'max_score': 6040.21, 'thumbnail': 'https://coursnap.oss-ap-southeast-1.aliyuncs.com/video-capture/0zznNu9ukCw/pics/0zznNu9ukCw6040210.jpg'}], 'start': 5183.707, 'title': 'Visualizing revenue, project lifecycles, stakeholders, and requirements', 'summary': 'Covers visualizing revenue with tableau, comparing software and project lifecycles, working with difficult stakeholders, and requirement prioritization techniques, emphasizing ease of use, risk management, agile methodologies, and various analysis techniques.', 'chapters': [{'end': 5251.47, 'start': 5183.707, 'title': 'Visualizing revenue with tableau', 'summary': 'Explains how to create a highlight table in tableau to visualize revenue generated from offline and online sales for different items across the region, emphasizing the ease of use and drag-and-drop functionality.', 'duration': 67.763, 'highlights': ['TabBlue is becoming a highly used tool due to its ease of use, allowing for drag-and-drop functionality for creating visualizations.', 'The process involves dragging the region, sales channel, and item type fields onto specific areas, selecting mark type and placing fields onto different cards in Tableau.', 'The tutorial emphasizes that Tableau may look complicated, but it primarily involves simple drag-and-drop actions for querying and summarization.']}, {'end': 5569.701, 'start': 5252.851, 'title': 'Software and project lifecycle comparison', 'summary': 'Compares the software development lifecycle and project lifecycle, discusses risk management techniques, differentiates risk mitigation from risk avoidance, and explains the agile and waterfall models, as well as various analytical techniques and strategy analysis components.', 'duration': 316.85, 'highlights': ['Differentiate between Software and Project Lifecycle The software development lifecycle involves the development of software products across multiple phases like requirement gathering, coding operations, maintenance, and documentation, while the project lifecycle consists of developing a new product in the business across phases such as idea generation, screening, development, testing, and analysis.', "Risk Management Techniques Risk management involves identifying, avoiding, reducing, assessing, and mitigating risks, and having an appropriate risk management plan decreases losses and optimizes decision making to enhance the organization's performance.", 'Risk Mitigation vs Risk Avoidance Risk mitigation involves executing a plan when a risk occurs, while risk avoidance is carried out to prevent the risk from occurring, thereby minimizing business impact and costs.', 'Project Deliverables Project deliverables represent measurable services and goods to be delivered to the end user in the project completion stage, emphasizing the importance of clarity regarding ownership, responsibilities, and security.', 'Agile and Waterfall Model Comparison The Agile model is adaptable to requirement changes and has an incremental approach with testing in every phase, while the Waterfall model is a structured methodology where changes in requirements are difficult to implement and testing is only performed in the final phase.', "Analytical Techniques - Moscow and SWOT Moscow analysis prioritizes requirements' significance by categorizing them as must-have, should-have, etc., while SWOT analysis evaluates strengths, weaknesses, opportunities, and threats of a firm to inform decision-making.", 'Strategy Analysis Components For developing a strategic plan, components like vision, objectives, mission, strategies, and action plans are vital to consider.', "Benchmarking Benchmarking involves evaluating an organization's measures against standard criteria, facilitating performance measurement, recognizing areas of improvement, and analyzing how other companies achieve objectives."]}, {'end': 6015.697, 'start': 5571.623, 'title': 'Working with difficult stakeholders & agile methodologies', 'summary': 'Explains the best approaches to work with difficult stakeholders, emphasizing the importance of patience and engagement, and provides an overview of various agile methodologies. it also covers topics such as gap analysis, importing text file data into ms excel, creating pivot tables, dual axes chart in tableau, and data visualization in tableau.', 'duration': 444.074, 'highlights': ['Importance of Patience and Engagement with Difficult Stakeholders The chapter emphasizes the importance of listening patiently to stakeholders, responding politely and diplomatically, and continuously engaging with difficult stakeholders to prevent problems from escalating.', 'Overview of Agile Methodologies The chapter provides an overview of various agile methodologies such as Scrum, Extreme Programming (XP), Feature Driven Development (FDD), Crystal, Kanban, and Dynamic Systems Development Method (DSDM), highlighting the importance of understanding these methodologies for professionals in the field.', 'Gap Analysis and Importing Text File Data into MS Excel The chapter explains the concept of gap analysis, which involves analyzing differences between existing and targeted system functionalities, and provides a step-by-step guide on importing text file data into MS Excel, offering practical knowledge for data analysis professionals.', 'Creating Pivot Tables and Dual Axes Chart in Tableau The chapter covers the creation of pivot tables and dual axes chart in Tableau, providing instructions and insights on data visualization and analysis using Tableau software, which is valuable for professionals working with data.', 'Data Visualization and Analysis in Tableau The chapter demonstrates the creation of various visualizations in Tableau to analyze data such as units sold, profit generated, and total revenue across different regions and items, emphasizing the importance of hands-on experience with data visualization tools.']}, {'end': 6534.515, 'start': 6016.597, 'title': 'Requirement prioritization techniques & business analysis', 'summary': 'Discusses requirement prioritization techniques such as moscow, ranking, $100 method, and top 10 requirements, as well as critical agile metrics, bpmn, elicitation techniques, documents needed by a business analyst, project approach outline, alternate and exception flows in use case diagrams, critical aspects of creating analytical reporting, kanban methodology, and key differences between brd and srs.', 'duration': 517.918, 'highlights': ['Requirement prioritization techniques like Moscow, ranking, $100 method, and top 10 requirements are discussed, enabling various teams to understand what is important and work in sync with the business needs. The transcript discusses various requirement prioritization techniques such as Moscow, ranking, $100 method, and top 10 requirements, emphasizing their significance in enabling teams to understand the importance of requirements and aligning them with business needs.', 'The critical agile metrics that should be considered by a business analyst, including sprint burndown, work category allocation, velocity, cumulative flow diagram, defect removal awareness, time coverage, and defect resolution time, are outlined. The chapter highlights critical agile metrics, such as sprint burndown, work category allocation, velocity, cumulative flow diagram, defect removal awareness, time coverage, and defect resolution time, emphasizing their importance for business analysts.', 'The Business Process Model and Notation (BPMN) is explained, detailing its essential elements like flow objects, events, activities, gateways, connecting objects, sequence, messages, associations, swim lanes, pool or lane artifacts, data, object group annotation, and how it models the end-to-end business process. The transcript provides a detailed explanation of BPMN, including its essential elements and how it models the end-to-end business process, highlighting its importance in business process modeling and notation.', 'Elicitation techniques such as interviews, document analysis, focus group, prototyping, brainstorming, observations, workshops, interface analysis, and questionnaire and survey are listed, emphasizing their role in gathering requirements from users and stakeholders. The chapter lists various elicitation techniques, such as interviews, document analysis, focus group, prototyping, brainstorming, observations, workshops, interface analysis, and questionnaire and survey, highlighting their significance in gathering requirements from users and stakeholders.', 'The documents needed by a business analyst, including initiation document, project vision, use cases, system requirements, traceability matrix, functional requirement, use case specifications, and gap analysis document are outlined. The transcript outlines the essential documents needed by a business analyst, such as initiation document, project vision, use cases, system requirements, traceability matrix, functional requirement, use case specifications, and gap analysis document, emphasizing their importance in the analysis process.']}], 'duration': 1350.808, 'thumbnail': 'https://coursnap.oss-ap-southeast-1.aliyuncs.com/video-capture/0zznNu9ukCw/pics/0zznNu9ukCw5183707.jpg', 'highlights': ['TabBlue is becoming a highly used tool due to its ease of use, allowing for drag-and-drop functionality for creating visualizations.', 'The process involves dragging the region, sales channel, and item type fields onto specific areas, selecting mark type and placing fields onto different cards in Tableau.', 'The tutorial emphasizes that Tableau may look complicated, but it primarily involves simple drag-and-drop actions for querying and summarization.', "Risk management involves identifying, avoiding, reducing, assessing, and mitigating risks, and having an appropriate risk management plan decreases losses and optimizes decision making to enhance the organization's performance.", 'Agile and Waterfall Model Comparison The Agile model is adaptable to requirement changes and has an incremental approach with testing in every phase, while the Waterfall model is a structured methodology where changes in requirements are difficult to implement and testing is only performed in the final phase.', 'Importance of Patience and Engagement with Difficult Stakeholders The chapter emphasizes the importance of listening patiently to stakeholders, responding politely and diplomatically, and continuously engaging with difficult stakeholders to prevent problems from escalating.', 'Overview of Agile Methodologies The chapter provides an overview of various agile methodologies such as Scrum, Extreme Programming (XP), Feature Driven Development (FDD), Crystal, Kanban, and Dynamic Systems Development Method (DSDM), highlighting the importance of understanding these methodologies for professionals in the field.', 'Requirement prioritization techniques like Moscow, ranking, $100 method, and top 10 requirements are discussed, enabling various teams to understand what is important and work in sync with the business needs.', 'The critical agile metrics that should be considered by a business analyst, including sprint burndown, work category allocation, velocity, cumulative flow diagram, defect removal awareness, time coverage, and defect resolution time, are outlined.', 'The Business Process Model and Notation (BPMN) is explained, detailing its essential elements like flow objects, events, activities, gateways, connecting objects, sequence, messages, associations, swim lanes, pool or lane artifacts, data, object group annotation, and how it models the end-to-end business process.', 'Elicitation techniques such as interviews, document analysis, focus group, prototyping, brainstorming, observations, workshops, interface analysis, and questionnaire and survey are listed, emphasizing their role in gathering requirements from users and stakeholders.', 'The documents needed by a business analyst, including initiation document, project vision, use cases, system requirements, traceability matrix, functional requirement, use case specifications, and gap analysis document are outlined.']}, {'end': 9485.981, 'segs': [{'end': 6562.176, 'src': 'embed', 'start': 6535.495, 'weight': 0, 'content': [{'end': 6541.257, 'text': 'What is Pareto analysis? The Pareto analysis helps in crucial decision making.', 'start': 6535.495, 'duration': 5.762}, {'end': 6547.839, 'text': 'It helps in prioritizing decisions, identifying the most relevant and the least decision concerning the overall goal.', 'start': 6541.477, 'duration': 6.362}, {'end': 6550.72, 'text': 'It is also known as the 80-20 rule.', 'start': 6548.779, 'duration': 1.941}, {'end': 6555.381, 'text': "As per this rule, 82% of the project's benefit arises from 20% of the work.", 'start': 6551.44, 'duration': 3.941}, {'end': 6562.176, 'text': 'Vice versa, 80% of the case problem can be due to 20% of the causes.', 'start': 6557.352, 'duration': 4.824}], 'summary': 'Pareto analysis prioritizes decisions; 82% of benefit from 20% of work.', 'duration': 26.681, 'max_score': 6535.495, 'thumbnail': 'https://coursnap.oss-ap-southeast-1.aliyuncs.com/video-capture/0zznNu9ukCw/pics/0zznNu9ukCw6535495.jpg'}, {'end': 6677.883, 'src': 'embed', 'start': 6653.838, 'weight': 6, 'content': [{'end': 6662.7, 'text': 'Go to the data tab, select advanced filter option, choose copy to another location, give your criteria range and the copy to location, click on OK.', 'start': 6653.838, 'duration': 8.862}, {'end': 6667.561, 'text': 'Here is the final result as we can see below.', 'start': 6665.401, 'duration': 2.16}, {'end': 6674.042, 'text': "Let's create a pivot table to find which countries from each region made the lowest amount of profit.", 'start': 6667.581, 'duration': 6.461}, {'end': 6677.883, 'text': 'Create a pivot table by dragging the region and the country into rows.', 'start': 6674.723, 'duration': 3.16}], 'summary': 'Instructions to use advanced filter and create a pivot table to analyze profit by country and region.', 'duration': 24.045, 'max_score': 6653.838, 'thumbnail': 'https://coursnap.oss-ap-southeast-1.aliyuncs.com/video-capture/0zznNu9ukCw/pics/0zznNu9ukCw6653838.jpg'}, {'end': 6976.871, 'src': 'embed', 'start': 6946.676, 'weight': 7, 'content': [{'end': 6955.058, 'text': 'So Excel proves to be a great platform to perform various mathematical calculation on large data sets,', 'start': 6946.676, 'duration': 8.382}, {'end': 6959.499, 'text': 'which is one of the biggest requirements of various organizations these days.', 'start': 6955.058, 'duration': 4.441}, {'end': 6967.822, 'text': 'Various features in Excel like searching, sorting, filtering makes it easier for you to play with the data.', 'start': 6960.16, 'duration': 7.662}, {'end': 6976.871, 'text': 'and excel also allows you to beautify your data and present it in the form of charts, tables and data bars.', 'start': 6968.582, 'duration': 8.289}], 'summary': 'Excel is a powerful tool for mathematical calculations on large datasets, meeting the needs of organizations with features for searching, sorting, filtering, and data visualization.', 'duration': 30.195, 'max_score': 6946.676, 'thumbnail': 'https://coursnap.oss-ap-southeast-1.aliyuncs.com/video-capture/0zznNu9ukCw/pics/0zznNu9ukCw6946676.jpg'}, {'end': 7144.098, 'src': 'embed', 'start': 7091.206, 'weight': 9, 'content': [{'end': 7098.916, 'text': 'which basically talks about 10 different steps in which we can learn excel And using the spreadsheet app.', 'start': 7091.206, 'duration': 7.71}, {'end': 7108.606, 'text': 'So there are more than 11 sheets which we see here at the bottom end and each one gives us a simple example which we can work on.', 'start': 7099.597, 'duration': 9.009}, {'end': 7116.787, 'text': 'So, for example, if I click on add now that takes me to this page which says how do we add numbers?', 'start': 7109.227, 'duration': 7.56}, {'end': 7125.915, 'text': 'now? you might be provided data which we can upload by loading a file from our machine, or getting data from a web source,', 'start': 7116.787, 'duration': 9.128}, {'end': 7127.937, 'text': 'or even connecting to a database.', 'start': 7125.915, 'duration': 2.022}, {'end': 7131.58, 'text': 'so there are various options which we will see in some time.', 'start': 7127.937, 'duration': 3.643}, {'end': 7135.584, 'text': 'so here we have an option which is called data.', 'start': 7131.58, 'duration': 4.004}, {'end': 7144.098, 'text': 'you can click on this one and this basically has options where you can use existing connections if you have created some.', 'start': 7135.584, 'duration': 8.514}], 'summary': 'The transcript covers 10 steps for learning excel and using the spreadsheet app, with more than 11 sheets at the bottom, providing simple examples.', 'duration': 52.892, 'max_score': 7091.206, 'thumbnail': 'https://coursnap.oss-ap-southeast-1.aliyuncs.com/video-capture/0zznNu9ukCw/pics/0zznNu9ukCw7091206.jpg'}, {'end': 7412.009, 'src': 'embed', 'start': 7337.331, 'weight': 8, 'content': [{'end': 7341.513, 'text': 'I can click on home and I can go for something like auto sum.', 'start': 7337.331, 'duration': 4.182}, {'end': 7348.575, 'text': "So that's one more way of doing it, which anyways says sum is alt plus equals.", 'start': 7341.893, 'duration': 6.682}, {'end': 7357.945, 'text': 'So it automatically adds up your values and I can try doing a auto sum that automatically selects my rows and then I can get my total.', 'start': 7348.995, 'duration': 8.95}, {'end': 7369.709, 'text': 'Now as per this activity here it says try adding another SUMIF formula here but add amounts that are less than 100 and the result should be 160.', 'start': 7358.485, 'duration': 11.224}, {'end': 7377.291, 'text': 'So what we can do is we can basically select all the numbers which are lesser than 100.', 'start': 7369.709, 'duration': 7.582}, {'end': 7379.392, 'text': 'So the way we did earlier.', 'start': 7377.291, 'duration': 2.101}, {'end': 7383.313, 'text': 'here there can be always a shortcut, so you can always.', 'start': 7379.392, 'duration': 3.921}, {'end': 7392.641, 'text': 'For example, if you would want to avoid typing in the formula, you can always copy it from here and then just hit on enter.', 'start': 7383.837, 'duration': 8.804}, {'end': 7399.964, 'text': 'So you are back into this cell and then I can basically go here and paste the number.', 'start': 7393.201, 'duration': 6.763}, {'end': 7407.687, 'text': 'And then as per the requirement, we are required to select anything which is lesser than 100.', 'start': 7400.384, 'duration': 7.303}, {'end': 7410.068, 'text': 'So what I could do is I could select here.', 'start': 7407.687, 'duration': 2.381}, {'end': 7412.009, 'text': "I could say, let's say G.", 'start': 7410.628, 'duration': 1.381}], 'summary': 'The transcript demonstrates using the autosum and sumif functions to perform calculations in excel, with a specific example of finding the sum of amounts less than 100 resulting in 160.', 'duration': 74.678, 'max_score': 7337.331, 'thumbnail': 'https://coursnap.oss-ap-southeast-1.aliyuncs.com/video-capture/0zznNu9ukCw/pics/0zznNu9ukCw7337331.jpg'}, {'end': 7738.343, 'src': 'embed', 'start': 7709.128, 'weight': 14, 'content': [{'end': 7714.672, 'text': 'If you would want to maintain the case sensitiveness you can just go ahead and delete these.', 'start': 7709.128, 'duration': 5.544}, {'end': 7716.981, 'text': "And let's type in as it occurs.", 'start': 7715.279, 'duration': 1.702}, {'end': 7725.249, 'text': "So let's say Nancy as the first name, go down to the next cell and just type in Andy and there is your grade list.", 'start': 7717.021, 'duration': 8.228}, {'end': 7729.474, 'text': 'So just hit on enter and that basically fills up your first name.', 'start': 7725.469, 'duration': 4.005}, {'end': 7738.343, 'text': 'What we can also do is we can just select this particular field and either we can type in control E.', 'start': 7730.114, 'duration': 8.229}], 'summary': 'Demonstrating data entry techniques for maintaining case sensitivity and using shortcuts like control e.', 'duration': 29.215, 'max_score': 7709.128, 'thumbnail': 'https://coursnap.oss-ap-southeast-1.aliyuncs.com/video-capture/0zznNu9ukCw/pics/0zznNu9ukCw7709128.jpg'}, {'end': 7833.888, 'src': 'embed', 'start': 7806.512, 'weight': 3, 'content': [{'end': 7814.835, 'text': 'your data is already selected, text to columns, delimited comma is selected and now click on next.', 'start': 7806.512, 'duration': 8.323}, {'end': 7818.236, 'text': 'so it basically says what is the destination?', 'start': 7814.835, 'duration': 3.401}, {'end': 7824.304, 'text': "let's select this one and I can choose what would you want to have?", 'start': 7818.236, 'duration': 6.068}, {'end': 7826.845, 'text': 'So that shows me this would be my data preview.', 'start': 7824.364, 'duration': 2.481}, {'end': 7829.747, 'text': 'Now I can basically select this one.', 'start': 7827.346, 'duration': 2.401}, {'end': 7833.888, 'text': 'I can say finish and say, okay.', 'start': 7830.467, 'duration': 3.421}], 'summary': 'Using data, columns are sorted, and destination and data preview are selected and verified.', 'duration': 27.376, 'max_score': 7806.512, 'thumbnail': 'https://coursnap.oss-ap-southeast-1.aliyuncs.com/video-capture/0zznNu9ukCw/pics/0zznNu9ukCw7806512.jpg'}, {'end': 7881.629, 'src': 'embed', 'start': 7854.761, 'weight': 15, 'content': [{'end': 7865.525, 'text': 'if say, if we have some name in one cell and if you would want to split it into first name, your helper column, your middle name, last name,', 'start': 7854.761, 'duration': 10.764}, {'end': 7868.826, 'text': 'so that can also be done using formulas,', 'start': 7865.525, 'duration': 3.301}, {'end': 7877.368, 'text': 'and this basically tells how would you extract characters from your left cell and how would you place them in your right cell,', 'start': 7868.826, 'duration': 8.542}, {'end': 7881.629, 'text': 'so you can try this activity, which is a little more of advanced option.', 'start': 7877.368, 'duration': 4.261}], 'summary': 'You can split names into first, middle, and last names using formulas in excel.', 'duration': 26.868, 'max_score': 7854.761, 'thumbnail': 'https://coursnap.oss-ap-southeast-1.aliyuncs.com/video-capture/0zznNu9ukCw/pics/0zznNu9ukCw7854761.jpg'}, {'end': 8142.015, 'src': 'embed', 'start': 8109.854, 'weight': 16, 'content': [{'end': 8115.536, 'text': "It's basically something which performs calculations on more than one cell in an array.", 'start': 8109.854, 'duration': 5.682}, {'end': 8120.778, 'text': 'And in the example here, the array is the original data that is C33 to H34.', 'start': 8116.237, 'duration': 4.541}, {'end': 8129.362, 'text': 'So your transpose is just changing the horizontal orientation to the vertical orientation.', 'start': 8120.798, 'duration': 8.564}, {'end': 8142.015, 'text': "So this is a very simple way in which you can basically use the Excel's capability to transpose your data and convert your rows into columns and columns into rows.", 'start': 8129.83, 'duration': 12.185}], 'summary': 'Excel transpose function converts rows to columns and vice versa.', 'duration': 32.161, 'max_score': 8109.854, 'thumbnail': 'https://coursnap.oss-ap-southeast-1.aliyuncs.com/video-capture/0zznNu9ukCw/pics/0zznNu9ukCw8109854.jpg'}, {'end': 8292.697, 'src': 'embed', 'start': 8265.576, 'weight': 17, 'content': [{'end': 8269.082, 'text': 'And now we have all the data which has been filtered.', 'start': 8265.576, 'duration': 3.506}, {'end': 8276.467, 'text': "now what we can also do is we can sort december's amounts from largest to smallest.", 'start': 8269.082, 'duration': 7.385}, {'end': 8284.352, 'text': "so what we can do is we can basically click any cell in the december column, let's say 20 000,", 'start': 8276.467, 'duration': 7.885}, {'end': 8292.697, 'text': 'and then what i can do is i can go into sort filter and then I can say sort largest to smallest.', 'start': 8284.352, 'duration': 8.345}], 'summary': 'Data has been filtered and sorted largest to smallest by december amounts.', 'duration': 27.121, 'max_score': 8265.576, 'thumbnail': 'https://coursnap.oss-ap-southeast-1.aliyuncs.com/video-capture/0zznNu9ukCw/pics/0zznNu9ukCw8265575.jpg'}, {'end': 8701.997, 'src': 'embed', 'start': 8670.638, 'weight': 18, 'content': [{'end': 8676.44, 'text': 'I can basically enter some field and then I can hit on enter.', 'start': 8670.638, 'duration': 5.802}, {'end': 8682.042, 'text': 'And we see that this row has been inserted, wherein we can easily fill in values.', 'start': 8676.74, 'duration': 5.302}, {'end': 8684.302, 'text': 'For example, I would say chocolates.', 'start': 8682.102, 'duration': 2.2}, {'end': 8688.064, 'text': 'I could give some value here.', 'start': 8686.143, 'duration': 1.921}, {'end': 8692.892, 'text': 'Size 25,000 might be 35,000.', 'start': 8688.084, 'duration': 4.808}, {'end': 8696.715, 'text': 'And then basically I can give in some values here.', 'start': 8692.893, 'duration': 3.822}, {'end': 8701.997, 'text': 'Now what you can also do is you can continue adding rows in this way.', 'start': 8697.255, 'duration': 4.742}], 'summary': 'Data entry of chocolates with quantities of 25,000 and 35,000.', 'duration': 31.359, 'max_score': 8670.638, 'thumbnail': 'https://coursnap.oss-ap-southeast-1.aliyuncs.com/video-capture/0zznNu9ukCw/pics/0zznNu9ukCw8670638.jpg'}, {'end': 9287.724, 'src': 'embed', 'start': 9260.805, 'weight': 2, 'content': [{'end': 9268.03, 'text': 'now you can select this, copy this particular path, and here you can come back to your excel sheet.', 'start': 9260.805, 'duration': 7.225}, {'end': 9270.092, 'text': 'we would be interested in getting the data from web.', 'start': 9268.03, 'duration': 2.062}, {'end': 9275.08, 'text': 'Might be from a text file where we will have to specify the delimiters.', 'start': 9270.919, 'duration': 4.161}, {'end': 9282.462, 'text': "or let's go to web, and here I can give in the web path from where I would be interested in getting the file.", 'start': 9275.08, 'duration': 7.382}, {'end': 9287.724, 'text': "Let's give the GitHub path which is publicly available and then click on import.", 'start': 9282.963, 'duration': 4.761}], 'summary': 'Instructions for importing data from a web source, such as github, into excel.', 'duration': 26.919, 'max_score': 9260.805, 'thumbnail': 'https://coursnap.oss-ap-southeast-1.aliyuncs.com/video-capture/0zznNu9ukCw/pics/0zznNu9ukCw9260805.jpg'}, {'end': 9345.435, 'src': 'embed', 'start': 9311.758, 'weight': 1, 'content': [{'end': 9316.422, 'text': "so let's click on ok, and now you have the data coming in.", 'start': 9311.758, 'duration': 4.664}, {'end': 9321.206, 'text': 'but then this basically shows me in one particular field.', 'start': 9316.422, 'duration': 4.784}, {'end': 9329.172, 'text': "so what we can also do is we can just do a control a that selects all my columns here, and that's my data.", 'start': 9321.206, 'duration': 7.966}, {'end': 9333.93, 'text': 'so we can then basically filter this out.', 'start': 9329.172, 'duration': 4.758}, {'end': 9338.532, 'text': "so we can say text to columns, it's a delimited file.", 'start': 9333.93, 'duration': 4.602}, {'end': 9339.933, 'text': 'click on next.', 'start': 9338.532, 'duration': 1.401}, {'end': 9345.435, 'text': 'we can select comma and let the text qualifier be quotes.', 'start': 9339.933, 'duration': 5.502}], 'summary': 'Data is filtered and separated using text to columns, with comma as delimiter and quotes as text qualifier.', 'duration': 33.677, 'max_score': 9311.758, 'thumbnail': 'https://coursnap.oss-ap-southeast-1.aliyuncs.com/video-capture/0zznNu9ukCw/pics/0zznNu9ukCw9311758.jpg'}], 'start': 6535.495, 'title': 'Excel data analysis', 'summary': 'Covers excel data analysis techniques, including pareto analysis, v vs fish model comparison, excel functions and formulas, data manipulation techniques, sorting and filtering, and working with excel data. it includes advanced filters, pivot tables, vlookup, hlookup, sumifs, countifs, iferror functions, data splitting, transposing, and data sorting and filtering methods.', 'chapters': [{'end': 6607.148, 'start': 6535.495, 'title': 'Pareto analysis and v vs fish model', 'summary': 'Discusses pareto analysis, highlighting its role in decision-making and the 80-20 rule, and compares the v model and fish model in terms of sequential execution, testing, time, and cost.', 'duration': 71.653, 'highlights': ["The Pareto analysis, also known as the 80-20 rule, states that 82% of the project's benefit arises from 20% of the work, and 80% of the case problem can be due to 20% of the causes.", 'The V model in SDLC involves sequential execution of processes in a V shape, with software testing conducted by different testers in the last step, consuming less time and costs.', 'The FISH model, similar to the V model but with multiple verification teams, requires multiple tests on each stage for completeness and correctness, making it comparatively very costly and time-consuming.']}, {'end': 7169.408, 'start': 6607.148, 'title': 'Excel data analysis techniques', 'summary': 'Covers various data analysis techniques in microsoft excel and tableau, including creating pivot tables, advanced filters, and field maps to analyze revenue, profit, and sales data, with a focus on functions like vlookup, hlookup, sumifs, countifs, and iferror.', 'duration': 562.26, 'highlights': ['Various data analysis techniques in Microsoft Excel and Tableau, including creating pivot tables, advanced filters, and field maps to analyze revenue, profit, and sales data Covers a range of data analysis techniques in Microsoft Excel and Tableau, such as creating pivot tables, using advanced filters, and field maps to analyze revenue, profit, and sales data', 'Focus on functions like VLOOKUP, HLOOKUP, SUMIFS, COUNTIFS, and IFERROR Emphasizes the usage of functions like VLOOKUP, HLOOKUP, SUMIFS, COUNTIFS, and IFERROR in data analysis', "Excel's capabilities in performing various mathematical calculations on large data sets and its features like searching, sorting, filtering, data visualization, and reporting Highlights Excel's capabilities in performing mathematical calculations on large data sets, along with features for searching, sorting, filtering, data visualization, and reporting"]}, {'end': 7760.812, 'start': 7170.268, 'title': 'Excel functions and formulas', 'summary': 'Covers various excel functions and formulas, including using sum, sumif, auto sum, and filling cells, with examples of totaling numbers, adding numbers over 50, and adding amounts less than 100, alongside shortcuts and filling options.', 'duration': 590.544, 'highlights': ['The chapter covers various Excel functions and formulas, including using sum, sumif, auto sum, and filling cells, with examples of totaling numbers, adding numbers over 50, and adding amounts less than 100, alongside shortcuts and filling options.', 'Using the sum function to total the amount from column D, for example, D4 onwards till D7, resulted in a total of 100.', 'Demonstrating the use of sumif formula to add numbers over 50, resulting in a total of 100.', 'Explaining the process of using auto sum feature in Excel, which automatically selects rows and calculates the total.', 'Illustrating the process of filling cells and automatically propagating computations to all cells using shortcuts like dragging and dropping, filling down, and filling right.']}, {'end': 8129.362, 'start': 7760.812, 'title': 'Excel data manipulation techniques', 'summary': "Explains how to efficiently split data using delimiters, including comma, and how to transpose rows into columns using the 'flash fill' and 'transpose' options in excel, providing time-saving shortcuts and formulas for efficient data organization.", 'duration': 368.55, 'highlights': ["The chapter elaborates on efficiently splitting data using 'Flash Fill' and 'Text to Columns' options based on default and custom delimiters, such as comma, enabling efficient data organization and manipulation. Efficient data splitting using 'Flash Fill' and 'Text to Columns' options based on default and custom delimiters, such as comma", "The chapter demonstrates how to transpose rows into columns using the 'Transpose' option and provides time-saving shortcuts and formulas for efficient data organization and manipulation in Excel. Demonstration of transposing rows into columns using the 'Transpose' option and providing time-saving shortcuts and formulas", 'The chapter explains how to use formulas to split data into multiple cells and how to update split data automatically when the original data is modified, providing efficient data management and maintenance. Utilizing formulas to split data into multiple cells and automatic update of split data upon modification of original data', "The chapter introduces the 'Transpose' option in Excel, providing a time-saving shortcut for switching rows into columns and columns into rows, enhancing data organization and manipulation. Introduction of the 'Transpose' option as a time-saving shortcut for switching rows into columns and columns into rows", 'The chapter emphasizes the benefits of using formulas for data manipulation, such as splitting data into multiple cells, and highlights the automatic update of split data upon modification of the original data, providing efficient data management and maintenance. Emphasizing the benefits of using formulas for data manipulation and automatic update of split data upon modification of the original data']}, {'end': 8572.005, 'start': 8129.83, 'title': 'Excel data sorting and filtering', 'summary': 'Outlines how to sort and filter data in excel, including alphabetically sorting department names, sorting values by custom criteria, sorting by date, and filtering data based on specific conditions and values.', 'duration': 442.175, 'highlights': ['Excel can be used to alphabetically sort department names by selecting the department column and using the sort and filter option, allowing for easy organization of data. The Excel sorting and filtering feature allows users to alphabetically sort department names by using the sort and filter option, providing a convenient way to organize data.', "The sorting function in Excel enables users to sort values in a specific column from largest to smallest, providing flexibility in organizing numerical data. Excel's sorting function allows for the sorting of values in a specific column from largest to smallest, offering flexibility in organizing numerical data.", 'The chapter also explains how to filter data based on specific conditions, such as filtering values above or below average, providing insights into data analysis and manipulation. The chapter provides insights into filtering data based on specific conditions, such as filtering values above or below average, offering guidance on data analysis and manipulation.']}, {'end': 9485.981, 'start': 8572.805, 'title': 'Working with excel data', 'summary': 'Explains how to work with excel data, including sorting, filtering, converting data into tables, performing calculations, creating drop-downs, and importing data from local and web sources.', 'duration': 913.176, 'highlights': ['Creating tables and performing calculations The chapter demonstrates creating tables, adding rows and columns, and performing calculations such as sum and average, providing a simpler way to work with data.', 'Using drop-downs and data validation The explanation covers creating drop-down menus for specific values and using data validation to restrict input options, enhancing data entry efficiency and accuracy.', 'Importing data from local and web sources The tutorial illustrates importing data from local files, CSV files, and web sources, including the process of splitting imported data and creating connections with databases, expanding the capabilities of Excel for data acquisition.', 'Exploring various data import options The chapter explores different data import options, including connecting to a SQL server, accessing databases, and utilizing the Power Query editor, showcasing the versatility of Excel in acquiring data from diverse sources.', 'Utilizing Excel features for data manipulation The tutorial emphasizes using built-in Excel features for sorting, filtering, transposing, and filling data, showcasing the versatility of Excel for different data manipulation tasks.']}], 'duration': 2950.486, 'thumbnail': 'https://coursnap.oss-ap-southeast-1.aliyuncs.com/video-capture/0zznNu9ukCw/pics/0zznNu9ukCw6535495.jpg', 'highlights': ["The Pareto analysis states that 82% of the project's benefit arises from 20% of the work, and 80% of the case problem can be due to 20% of the causes.", 'The V model in SDLC involves sequential execution of processes in a V shape, with software testing conducted by different testers in the last step, consuming less time and costs.', 'The FISH model requires multiple tests on each stage for completeness and correctness, making it comparatively very costly and time-consuming.', 'Covers a range of data analysis techniques in Microsoft Excel and Tableau, such as creating pivot tables, using advanced filters, and field maps to analyze revenue, profit, and sales data.', 'Emphasizes the usage of functions like VLOOKUP, HLOOKUP, SUMIFS, COUNTIFS, and IFERROR in data analysis.', "Highlights Excel's capabilities in performing mathematical calculations on large data sets, along with features for searching, sorting, filtering, data visualization, and reporting.", 'The chapter covers various Excel functions and formulas, including using sum, sumif, auto sum, and filling cells, with examples of totaling numbers, adding numbers over 50, and adding amounts less than 100, alongside shortcuts and filling options.', "Efficient data splitting using 'Flash Fill' and 'Text to Columns' options based on default and custom delimiters, such as comma.", "Demonstration of transposing rows into columns using the 'Transpose' option and providing time-saving shortcuts and formulas.", 'Utilizing formulas to split data into multiple cells and automatic update of split data upon modification of original data.', "Introduction of the 'Transpose' option as a time-saving shortcut for switching rows into columns and columns into rows.", 'Emphasizing the benefits of using formulas for data manipulation and automatic update of split data upon modification of the original data.', 'The Excel sorting and filtering feature allows users to alphabetically sort department names by using the sort and filter option, providing a convenient way to organize data.', "Excel's sorting function allows for the sorting of values in a specific column from largest to smallest, offering flexibility in organizing numerical data.", 'The chapter provides insights into filtering data based on specific conditions, such as filtering values above or below average, offering guidance on data analysis and manipulation.', 'The chapter demonstrates creating tables, adding rows and columns, and performing calculations such as sum and average, providing a simpler way to work with data.', 'The explanation covers creating drop-down menus for specific values and using data validation to restrict input options, enhancing data entry efficiency and accuracy.', 'The tutorial illustrates importing data from local files, CSV files, and web sources, including the process of splitting imported data and creating connections with databases, expanding the capabilities of Excel for data acquisition.', 'The chapter explores different data import options, including connecting to a SQL server, accessing databases, and utilizing the Power Query editor, showcasing the versatility of Excel in acquiring data from diverse sources.', 'The tutorial emphasizes using built-in Excel features for sorting, filtering, transposing, and filling data, showcasing the versatility of Excel for different data manipulation tasks.']}, {'end': 11057.871, 'segs': [{'end': 9608.66, 'src': 'embed', 'start': 9577.243, 'weight': 0, 'content': [{'end': 9578.543, 'text': 'i can say okay.', 'start': 9577.243, 'duration': 1.3}, {'end': 9586.603, 'text': 'and now, if you see, the date has been sorted, so we have your 10, 18 2007 on the top.', 'start': 9578.543, 'duration': 8.06}, {'end': 9597.994, 'text': 'so that seems to be the latest date, and as we go down we will see an earlier month hour and earlier month than that in this date listed.', 'start': 9586.603, 'duration': 11.391}, {'end': 9606.399, 'text': "so we have sorted our data into newest to oldest order, and that's based on your date column.", 'start': 9597.994, 'duration': 8.405}, {'end': 9608.66, 'text': 'so the result shows up here now.', 'start': 9606.399, 'duration': 2.261}], 'summary': 'Data sorted by date, displaying 10/18/2007 at the top, indicating newest to oldest order.', 'duration': 31.417, 'max_score': 9577.243, 'thumbnail': 'https://coursnap.oss-ap-southeast-1.aliyuncs.com/video-capture/0zznNu9ukCw/pics/0zznNu9ukCw9577243.jpg'}], 'start': 9486.221, 'title': 'Excel data sorting and filtering', 'summary': 'Explores sorting data in excel by date, multiple columns, and custom orders. it covers filtering based on specific criteria, applying advanced filters, and using functions for data analysis and computations.', 'chapters': [{'end': 9870.025, 'start': 9486.221, 'title': 'Sorting data in excel', 'summary': 'Covers sorting data in excel, including sorting by date, sorting by multiple columns, and custom sorting based on specific orders.', 'duration': 383.804, 'highlights': ['Sorting data by date listed from newest to oldest in Excel by using the custom sort feature, resulting in the latest date being displayed at the top.', 'Sorting data in ascending order by area and descending order by agent name in Excel, achieving the arrangement of data based on the specified criteria.', 'Custom sorting data in Excel according to a specific order of areas, such as county central and then county, by using the custom sort feature and a predefined custom list.']}, {'end': 10357.042, 'start': 9870.725, 'title': 'Data sorting, filtering, and advanced filtering', 'summary': 'Covers sorting data based on specific criteria, applying filters to find specific information, and implementing advanced filters to meet complex conditions, with examples of sorting and filtering based on single and multiple columns with different conditions and using advanced filters to get the desired results.', 'duration': 486.317, 'highlights': ['The chapter covers sorting data based on specific criteria, applying filters to find specific information, and implementing advanced filters to meet complex conditions. The chapter discusses various techniques such as sorting and filtering to manipulate data based on specific requirements and demonstrates the use of advanced filters to meet complex conditions.', 'Examples of sorting and filtering based on single and multiple columns with different conditions are provided. Examples are provided to demonstrate sorting and filtering based on single and multiple columns with different conditions, showcasing the versatility of data manipulation techniques.', 'Implementing advanced filters to get the desired results is explained, showcasing the capability to filter data based on complex criteria. The tutorial explains the process of implementing advanced filters to obtain specific results, highlighting the ability to filter data based on complex criteria and conditions.']}, {'end': 10629.604, 'start': 10357.042, 'title': 'Excel advanced filtering', 'summary': 'Illustrates the process of advanced filtering in excel, including selecting criteria, filtering data based on specific conditions, and using both the filter function and column headers to achieve the desired results.', 'duration': 272.562, 'highlights': ['The chapter illustrates the process of advanced filtering in Excel. It covers advanced filtering techniques in Excel to efficiently extract specific data based on given criteria.', 'Filtering data based on specific conditions. Demonstrates the process of filtering data based on specific conditions, such as selecting agents with specific properties or filtering houses based on price ranges.', 'Using both the filter function and column headers to achieve the desired results. Explains the use of the filter function and column headers to achieve precise filtering results based on multiple conditions and criteria.']}, {'end': 11057.871, 'start': 10629.644, 'title': 'Excel data filtering and functions', 'summary': 'Covers using advanced filtering in excel to filter data based on specific criteria such as list price and number of bedrooms, and also introduces various functions and formulas available for data analysis and computations.', 'duration': 428.227, 'highlights': ['Using advanced filtering in Excel to filter data based on specific criteria such as list price and number of bedrooms, and introducing various functions and formulas available for data analysis and computations The chapter covers using advanced filtering in Excel to filter data based on specific criteria such as list price and number of bedrooms, and also introduces various functions and formulas available for data analysis and computations.', 'Demonstrating the process of setting criteria for filtering data in Excel, specifying conditions for list price and bedroom values The transcript demonstrates the process of setting criteria for filtering data in Excel, specifying conditions for list price being greater than 300,000 and bedrooms having values of either three or four.', 'Explaining the use of advanced filtering to copy filtered data to another location in Excel The transcript explains the use of advanced filtering to copy filtered data to another location in Excel, specifying the range of data and criteria, and obtaining the filtered result.', "Introducing the availability of various inbuilt functions in Excel for data analysis and computations Introducing the availability of various inbuilt functions in Excel for data analysis and computations, such as 'is even', 'is logical', 'subtotal', 'integers', 'sum', 'average', 'truncating data', 'absolute value', 'square root', 'count', and 'max value'.", "Exploring specific functions like 'now' in Excel for obtaining current date and time Exploring specific functions like 'now' in Excel for obtaining current date and time, and explaining the functionality of the 'now' function."]}], 'duration': 1571.65, 'thumbnail': 'https://coursnap.oss-ap-southeast-1.aliyuncs.com/video-capture/0zznNu9ukCw/pics/0zznNu9ukCw9486221.jpg', 'highlights': ['Sorting data by date listed from newest to oldest in Excel by using the custom sort feature, resulting in the latest date being displayed at the top.', 'The chapter covers sorting data based on specific criteria, applying filters to find specific information, and implementing advanced filters to meet complex conditions.', 'The chapter illustrates the process of advanced filtering in Excel. It covers advanced filtering techniques in Excel to efficiently extract specific data based on given criteria.', 'Using advanced filtering in Excel to filter data based on specific criteria such as list price and number of bedrooms, and introducing various functions and formulas available for data analysis and computations']}, {'end': 13405.232, 'segs': [{'end': 11142.758, 'src': 'embed', 'start': 11117.237, 'weight': 0, 'content': [{'end': 11121.782, 'text': "if so, for that let's go to this sheet.", 'start': 11117.237, 'duration': 4.545}, {'end': 11124.128, 'text': 'and here we have some data.', 'start': 11121.782, 'duration': 2.346}, {'end': 11129.691, 'text': 'now I have already applied a filter which can allow me to filter out the data.', 'start': 11124.128, 'duration': 5.563}, {'end': 11134.974, 'text': 'so it says find the total units that were sold in the east region.', 'start': 11129.691, 'duration': 5.283}, {'end': 11142.758, 'text': 'now we know that in region we have east and I have multiple regions.', 'start': 11134.974, 'duration': 7.784}], 'summary': 'Filter applied to find total units sold in east region.', 'duration': 25.521, 'max_score': 11117.237, 'thumbnail': 'https://coursnap.oss-ap-southeast-1.aliyuncs.com/video-capture/0zznNu9ukCw/pics/0zznNu9ukCw11117237.jpg'}, {'end': 11232.036, 'src': 'embed', 'start': 11206.243, 'weight': 5, 'content': [{'end': 11213.206, 'text': 'But this does not give me clearly how a sum was calculated from all the values which were listed.', 'start': 11206.243, 'duration': 6.963}, {'end': 11217.849, 'text': "What we can also do is let's do a control Z and let's get it back.", 'start': 11213.727, 'duration': 4.122}, {'end': 11224.772, 'text': 'So now we have our data and we would want to get the total units that were sold in the east region.', 'start': 11218.429, 'duration': 6.343}, {'end': 11232.036, 'text': "So what I can do is I can start typing in my formula and for that I'll use an inbuilt function.", 'start': 11224.892, 'duration': 7.144}], 'summary': 'Data analysis involves calculating sum of units sold in the east region using an inbuilt function.', 'duration': 25.793, 'max_score': 11206.243, 'thumbnail': 'https://coursnap.oss-ap-southeast-1.aliyuncs.com/video-capture/0zznNu9ukCw/pics/0zznNu9ukCw11206243.jpg'}, {'end': 11478.636, 'src': 'embed', 'start': 11412.819, 'weight': 6, 'content': [{'end': 11418.062, 'text': 'Now. similarly, if the question was what was the total revenue generated from binder?', 'start': 11412.819, 'duration': 5.243}, {'end': 11423.846, 'text': 'Now we would want to find out what is the total revenue generated from binders.', 'start': 11418.923, 'duration': 4.923}, {'end': 11428.008, 'text': 'That means my filtering criteria will be binder.', 'start': 11424.006, 'duration': 4.002}, {'end': 11434.623, 'text': 'And then, I want to find out the total revenue generated.', 'start': 11429.81, 'duration': 4.813}, {'end': 11438.225, 'text': 'So we have the revenue generated field also here.', 'start': 11435.024, 'duration': 3.201}, {'end': 11442.586, 'text': "And we don't have any region to be filtered.", 'start': 11438.865, 'duration': 3.721}, {'end': 11444.507, 'text': 'We are just looking for binder.', 'start': 11442.807, 'duration': 1.7}, {'end': 11447.949, 'text': "So let's again start doing the same thing.", 'start': 11445.027, 'duration': 2.922}, {'end': 11449.629, 'text': 'So we can go for some if.', 'start': 11448.049, 'duration': 1.58}, {'end': 11451.53, 'text': 'We can open the bracket.', 'start': 11450.229, 'duration': 1.301}, {'end': 11453.01, 'text': 'Now it needs the range.', 'start': 11451.61, 'duration': 1.4}, {'end': 11456.972, 'text': 'So we are interested in revenue generated.', 'start': 11453.571, 'duration': 3.401}, {'end': 11459.653, 'text': "Now that's the summation we want.", 'start': 11457.532, 'duration': 2.121}, {'end': 11464.832, 'text': 'And we would want to get the range of data.', 'start': 11460.171, 'duration': 4.661}, {'end': 11474.255, 'text': 'So here we can basically select D2 to D44.', 'start': 11465.112, 'duration': 9.143}, {'end': 11478.636, 'text': "So that's the data selected.", 'start': 11476.975, 'duration': 1.661}], 'summary': 'Filter and sum revenue for binders. data range: d2 to d44.', 'duration': 65.817, 'max_score': 11412.819, 'thumbnail': 'https://coursnap.oss-ap-southeast-1.aliyuncs.com/video-capture/0zznNu9ukCw/pics/0zznNu9ukCw11412819.jpg'}, {'end': 11722.087, 'src': 'embed', 'start': 11690.361, 'weight': 10, 'content': [{'end': 11692.741, 'text': "So I'm saying setting this some range.", 'start': 11690.361, 'duration': 2.38}, {'end': 11696.978, 'text': 'I need to give the criteria range.', 'start': 11695.057, 'duration': 1.921}, {'end': 11699.96, 'text': 'So it says from central region.', 'start': 11697.138, 'duration': 2.822}, {'end': 11704.943, 'text': "So central region comes into column two, that's B.", 'start': 11700, 'duration': 4.943}, {'end': 11708.505, 'text': "So let's say B2 to B44.", 'start': 11704.943, 'duration': 3.562}, {'end': 11711.046, 'text': "So that's my criteria range.", 'start': 11709.045, 'duration': 2.001}, {'end': 11719.646, 'text': 'Then you have to give your criteria, but we need to filter out the region being central.', 'start': 11711.847, 'duration': 7.799}, {'end': 11722.087, 'text': "so let's select this now.", 'start': 11719.646, 'duration': 2.441}], 'summary': 'Filter central region from b2 to b44.', 'duration': 31.726, 'max_score': 11690.361, 'thumbnail': 'https://coursnap.oss-ap-southeast-1.aliyuncs.com/video-capture/0zznNu9ukCw/pics/0zznNu9ukCw11690361.jpg'}, {'end': 11789.342, 'src': 'embed', 'start': 11759.709, 'weight': 8, 'content': [{'end': 11767.935, 'text': 'So that basically selects all the rows in the D column and we need to give the filtering criteria.', 'start': 11759.709, 'duration': 8.226}, {'end': 11772.319, 'text': "So let's do a comma and then just given our value.", 'start': 11768.115, 'duration': 4.204}, {'end': 11776.342, 'text': "So let's say pencil and then let's close your bracket.", 'start': 11772.539, 'duration': 3.803}, {'end': 11778.874, 'text': 'And that basically gives you the result.', 'start': 11776.832, 'duration': 2.042}, {'end': 11789.342, 'text': 'So we need to just follow the order of our question, which says, what is the total revenue generated? So we are looking at the revenue column.', 'start': 11779.654, 'duration': 9.688}], 'summary': "Filter d column for 'pencil' to find revenue.", 'duration': 29.633, 'max_score': 11759.709, 'thumbnail': 'https://coursnap.oss-ap-southeast-1.aliyuncs.com/video-capture/0zznNu9ukCw/pics/0zznNu9ukCw11759709.jpg'}, {'end': 11950.815, 'src': 'embed', 'start': 11882.907, 'weight': 9, 'content': [{'end': 11885.608, 'text': 'then it says you need to give the criteria range.', 'start': 11882.907, 'duration': 2.701}, {'end': 11890.994, 'text': 'so we say sales representative, where the name is jones.', 'start': 11885.608, 'duration': 5.386}, {'end': 11894.495, 'text': 'so sales representative is in sales rep column c.', 'start': 11890.994, 'duration': 3.501}, {'end': 11899.237, 'text': "so let's say c2 to c44.", 'start': 11894.495, 'duration': 4.742}, {'end': 11903.279, 'text': 'now then we need to give our filtering criteria.', 'start': 11899.237, 'duration': 4.042}, {'end': 11912.463, 'text': "so let's say jones is the sales representative where we are interested, about whom we are interested in, and then we,", 'start': 11903.279, 'duration': 9.184}, {'end': 11916.665, 'text': 'the question says where the cost of each item.', 'start': 11912.463, 'duration': 4.202}, {'end': 11919.186, 'text': 'so cost of each item is what we are interested in.', 'start': 11916.665, 'duration': 2.521}, {'end': 11924.119, 'text': "you have unit cost, so that's what we are interested in.", 'start': 11919.997, 'duration': 4.122}, {'end': 11926.2, 'text': 'so that would be F.', 'start': 11924.119, 'duration': 2.081}, {'end': 11933.904, 'text': 'and then say F2 to F44 and then you need to give your cost.', 'start': 11926.2, 'duration': 7.704}, {'end': 11938.747, 'text': 'so it says where each item is greater than 4.', 'start': 11933.904, 'duration': 4.843}, {'end': 11947.354, 'text': "so let's select this and let's to this.", 'start': 11938.747, 'duration': 8.607}, {'end': 11950.815, 'text': 'so this tells me 301.', 'start': 11947.354, 'duration': 3.461}], 'summary': 'Filtering sales data for sales representative jones with item cost greater than 4 resulted in 301 items.', 'duration': 67.908, 'max_score': 11882.907, 'thumbnail': 'https://coursnap.oss-ap-southeast-1.aliyuncs.com/video-capture/0zznNu9ukCw/pics/0zznNu9ukCw11882907.jpg'}, {'end': 13405.232, 'src': 'embed', 'start': 13370.53, 'weight': 1, 'content': [{'end': 13373.273, 'text': 'which are lower values might be here.', 'start': 13370.53, 'duration': 2.743}, {'end': 13381.408, 'text': 'the revenue is getting generated or was getting generated but did not grow beyond a particular value, and so on.', 'start': 13373.273, 'duration': 8.135}, {'end': 13386.692, 'text': 'Now, similarly, you can also go in for different options.', 'start': 13382.049, 'duration': 4.643}, {'end': 13396.378, 'text': 'Say, for example, here we would want to see if the revenue was dropping or if the revenue decreased.', 'start': 13387.432, 'duration': 8.946}, {'end': 13405.232, 'text': 'or say, for example, if the revenue was going up for this particular sales person.', 'start': 13399.927, 'duration': 5.305}], 'summary': 'Revenue did not grow beyond a particular value. explore revenue trends for salesperson.', 'duration': 34.702, 'max_score': 13370.53, 'thumbnail': 'https://coursnap.oss-ap-southeast-1.aliyuncs.com/video-capture/0zznNu9ukCw/pics/0zznNu9ukCw13370530.jpg'}], 'start': 11058.172, 'title': 'Using excel functions and conditional formatting', 'summary': 'Covers using excel functions like sumif, sumifs, countifs, and conditional formatting to analyze sales data, calculate revenue, and identify sales patterns, with practical examples and step-by-step explanations for better comprehension.', 'chapters': [{'end': 11411.978, 'start': 11058.172, 'title': 'Using excel functions for data analysis', 'summary': 'Explains how to use excel built-in functions like sumif to filter and calculate the sum of units sold in a specific region, aiding in data analysis and computations.', 'duration': 353.806, 'highlights': ['Explaining how to use the SUMIF function to calculate the sum of units sold in a specific region The transcript provides a detailed explanation of how to use the SUMIF function to calculate the sum of units sold in the East region, demonstrating the process through selecting the range, specifying the criteria, and obtaining the sum of units, with a final result of 691.', 'Demonstrating the use of Excel functions like SUMIF and IF for data analysis and computations The chapter covers the usage of Excel functions like SUMIF and IF to perform data analysis, computations, and filtering, enabling users to easily work with different cell values and data sets.', 'Illustrating the process of filtering and obtaining total units sold using built-in Excel functions The transcript provides a step-by-step illustration of filtering data and obtaining the total units sold in the East region using built-in Excel functions, such as SUMIF, to aid in data analysis and calculations.']}, {'end': 12113.616, 'start': 11412.819, 'title': 'Using sumifs and countifs in excel', 'summary': 'Covers the use of sumifs and countifs in excel to calculate total revenue generated from specific items and regions, as well as the number of units sold under certain conditions, with examples and step-by-step explanations.', 'duration': 700.797, 'highlights': ['The chapter covers the use of SUMIFS and COUNTIFS in Excel to calculate total revenue generated from specific items and regions The chapter explains how to use SUMIFS to calculate total revenue generated from specific items and regions in Excel, providing step-by-step explanations and examples.', 'The chapter provides examples and step-by-step explanations for using SUMIFS to calculate total revenue generated from specific items and regions The chapter includes detailed examples and step-by-step explanations for using SUMIFS to calculate total revenue generated from specific items and regions in Excel.', 'The chapter explains how to use SUMIFS to calculate the number of units sold by specific sales representatives under certain conditions The chapter demonstrates how to use SUMIFS to calculate the number of units sold by specific sales representatives under certain conditions, providing clear examples and explanations.', 'The chapter provides examples and step-by-step explanations for using SUMIFS to calculate the number of units sold by specific sales representatives under certain conditions The chapter offers detailed examples and step-by-step explanations for using SUMIFS to calculate the number of units sold by specific sales representatives under certain conditions in Excel.', 'The chapter demonstrates how to use SUMIFS to calculate the number of units sold, excluding specific items, with clear examples and explanations The chapter provides clear examples and explanations for using SUMIFS to calculate the number of units sold, excluding specific items, with step-by-step demonstrations.', 'The chapter includes detailed examples and step-by-step explanations for using SUMIFS to calculate the number of units sold, excluding specific items The chapter includes detailed examples and step-by-step explanations for using SUMIFS to calculate the number of units sold, excluding specific items, providing comprehensive guidance.', 'The chapter covers the use of COUNTIFS in Excel and its usefulness in calculating certain values The chapter covers the use of COUNTIFS in Excel and its usefulness in calculating certain values, providing insights into its practical applications.', 'The chapter explains the benefits of using formulas for dynamic spreadsheet calculations The chapter discusses the benefits of using formulas for dynamic spreadsheet calculations, highlighting the importance of making calculations more dynamic based on the values in the columns or rows.']}, {'end': 12842.804, 'start': 12113.616, 'title': 'Excel functions and conditional formatting', 'summary': 'Discusses using excel functions like countif and countifs to find the total number of times gill made a sale, identifying sales representatives who made a sale more than three times, and using conditional formatting to highlight cells based on revenue thresholds.', 'duration': 729.188, 'highlights': ["Using COUNTIF to find the total number of times Gill made a sale The speaker demonstrates using the COUNTIF function to find that Gill made a sale five times by applying the condition 'Gill' to the sales representative range C2 to C44.", "Identifying sales representatives who made a sale more than three times using COUNTIF The speaker explains how to use the COUNTIF function with the condition 'sales greater than three' to identify sales representatives who made a sale more than three times by applying the criteria to the sales representative range C2 to C44.", 'Using COUNTIFS to find the number of orders placed from the east region after a specific date The speaker demonstrates the use of COUNTIFS to find that 13 orders were placed from the east region after the 10th of February 2019 by applying the criteria for date and region to the respective ranges (A2 to A44 and B2 to B44).', "Applying conditional formatting to highlight cells based on revenue thresholds The speaker explains how to use conditional formatting to highlight cells where the revenue generated by a salesperson is greater than a specified threshold, in this case, greater than 12,000, by selecting the data, going to conditional formatting, and using the 'greater than' rule with the value 12,000."]}, {'end': 13405.232, 'start': 12842.884, 'title': 'Conditional formatting for cell values', 'summary': 'Explains how to use conditional formatting to create three-color scales, highlight cells above and below average, and identify top and bottom values, with specific steps and examples provided.', 'duration': 562.348, 'highlights': ['You can set up a three color scale to highlight cell values using different colors such as green, yellow, and red, and define specific rules for formatting cells based on their values. The chapter explains how to create a three color scale to highlight cell values using different colors such as green, yellow, and red, allowing the user to define specific rules for formatting cells based on their values.', 'Conditional formatting can be used to color cells based on their values, such as showing revenue above average in green and below average in yellow or red. The transcript details how conditional formatting can be used to color cells based on their values, for instance, showing revenue above average in green and below average in yellow or red.', 'The process of highlighting top and bottom values, such as top 10 items in blue and bottom 10 items in orange, through conditional formatting is explained. The transcript explains the process of highlighting top and bottom values, for example, top 10 items in blue and bottom 10 items in orange, through conditional formatting.']}], 'duration': 2347.06, 'thumbnail': 'https://coursnap.oss-ap-southeast-1.aliyuncs.com/video-capture/0zznNu9ukCw/pics/0zznNu9ukCw11058172.jpg', 'highlights': ['The chapter covers the use of SUMIFS and COUNTIFS in Excel to calculate total revenue generated from specific items and regions', 'The chapter provides examples and step-by-step explanations for using SUMIFS to calculate total revenue generated from specific items and regions', 'The chapter explains how to use SUMIFS to calculate the number of units sold by specific sales representatives under certain conditions', 'The chapter demonstrates how to use SUMIFS to calculate the number of units sold, excluding specific items, with clear examples and explanations', 'The chapter covers the use of COUNTIFS in Excel and its usefulness in calculating certain values', 'Using COUNTIF to find the total number of times Gill made a sale', 'Identifying sales representatives who made a sale more than three times using COUNTIF', 'Using COUNTIFS to find the number of orders placed from the east region after a specific date', 'Applying conditional formatting to highlight cells based on revenue thresholds', 'You can set up a three color scale to highlight cell values using different colors such as green, yellow, and red, and define specific rules for formatting cells based on their values', 'Conditional formatting can be used to color cells based on their values, such as showing revenue above average in green and below average in yellow or red', 'The process of highlighting top and bottom values, such as top 10 items in blue and bottom 10 items in orange, through conditional formatting is explained']}, {'end': 15143.592, 'segs': [{'end': 13579.149, 'src': 'embed', 'start': 13553.663, 'weight': 3, 'content': [{'end': 13564.397, 'text': 'if you would want to use a three color or a two color scale, or if you would want to just find out values based on some simple calculation.', 'start': 13553.663, 'duration': 10.734}, {'end': 13573.264, 'text': 'so conditional formatting is used extensively by data analysts or people who are working business intelligence teams,', 'start': 13564.397, 'duration': 8.867}, {'end': 13579.149, 'text': 'or people who would want to use excel to easily identify the data,', 'start': 13573.264, 'duration': 5.885}], 'summary': 'Conditional formatting in excel helps data analysts easily identify and analyze data.', 'duration': 25.486, 'max_score': 13553.663, 'thumbnail': 'https://coursnap.oss-ap-southeast-1.aliyuncs.com/video-capture/0zznNu9ukCw/pics/0zznNu9ukCw13553663.jpg'}, {'end': 13776.125, 'src': 'embed', 'start': 13751.275, 'weight': 4, 'content': [{'end': 13760.542, 'text': 'so for this we can basically select the column and then we can search for data tab and get into data validation.', 'start': 13751.275, 'duration': 9.267}, {'end': 13765.066, 'text': 'so this is where you can create or select different kind of rules.', 'start': 13760.542, 'duration': 4.524}, {'end': 13776.125, 'text': 'so, for example, i can go into data validation, I can go into settings and I can say the text length and that should be less than 15.', 'start': 13765.066, 'duration': 11.059}], 'summary': 'Data validation allows creating rules, e.g. text length <15.', 'duration': 24.85, 'max_score': 13751.275, 'thumbnail': 'https://coursnap.oss-ap-southeast-1.aliyuncs.com/video-capture/0zznNu9ukCw/pics/0zznNu9ukCw13751275.jpg'}, {'end': 14971.566, 'src': 'embed', 'start': 14884.357, 'weight': 0, 'content': [{'end': 14893.942, 'text': 'Office supply having binders and technology having phones and that basically is a filter applied on the result of your pivot.', 'start': 14884.357, 'duration': 9.585}, {'end': 14903.226, 'text': 'So this is how we are seeing with subcategory of items were sold maximum for each category.', 'start': 14893.962, 'duration': 9.264}, {'end': 14908.234, 'text': 'So this is how you can easily use pivot tables and you can do some analysis.', 'start': 14904.093, 'duration': 4.141}, {'end': 14910.114, 'text': "Let's look at some more examples.", 'start': 14908.294, 'duration': 1.82}, {'end': 14923.758, 'text': "Now let's see if you have to answer this question, which says which were the top three states for each region that made the highest average profit?", 'start': 14912.355, 'duration': 11.403}, {'end': 14925.858, 'text': 'Now, how do we calculate that?', 'start': 14924.358, 'duration': 1.5}, {'end': 14928.739, 'text': 'So, for example, this is the data we have.', 'start': 14926.538, 'duration': 2.201}, {'end': 14934.08, 'text': "And as I've instructed earlier, you can select the first row and first column.", 'start': 14929.398, 'duration': 4.682}, {'end': 14939.982, 'text': 'You can click on insert, go into pivot table, and that basically selects all your data.', 'start': 14934.66, 'duration': 5.322}, {'end': 14943.223, 'text': 'We will choose that result should be in this existing worksheet.', 'start': 14940.042, 'duration': 3.181}, {'end': 14952.727, 'text': "So select this, click here, and then basically let's select this cell and I will say okay.", 'start': 14943.483, 'duration': 9.244}, {'end': 14955.257, 'text': 'So now my pivot table will be here.', 'start': 14953.294, 'duration': 1.963}, {'end': 14967.402, 'text': 'So we are interested in finding out top three states within each region which have made the highest profit or which have made the highest average profit.', 'start': 14955.297, 'duration': 12.105}, {'end': 14971.566, 'text': 'so for that first we will select region.', 'start': 14967.402, 'duration': 4.164}], 'summary': 'Using pivot tables to analyze top three states within each region for highest average profit.', 'duration': 87.209, 'max_score': 14884.357, 'thumbnail': 'https://coursnap.oss-ap-southeast-1.aliyuncs.com/video-capture/0zznNu9ukCw/pics/0zznNu9ukCw14884357.jpg'}], 'start': 13405.232, 'title': 'Excel data analysis', 'summary': 'Covers excel features such as conditional formatting, data validation, and pivot tables, with specific examples and rules provided for text length, date range, and email format. it also demonstrates creating pivot tables for data analysis and analyzing sales data for subcategories, and using pivot tables to identify the top three states with the highest average profit for each region.', 'chapters': [{'end': 13948.75, 'start': 13405.232, 'title': 'Excel: conditional formatting and data validation', 'summary': 'Explains the usage of conditional formatting in excel to highlight cell values based on icon sets and data bars, and how data validation can be used to control and restrict the data input in cells, with specific examples and rules provided for text length, date range, and email format.', 'duration': 543.518, 'highlights': ['The chapter explains the usage of conditional formatting in Excel to highlight cell values based on icon sets and data bars, with options like color scales and different shapes, providing a detailed walkthrough of managing rules and applying icon sets, making it useful for data analysts and business intelligence teams (e.g. revenue generation by sales in Jan was very high, then fell in Feb and went way below in April).', "It provides a comprehensive guide on how to use data validation in Excel to control and restrict data input in cells, with specific examples and rules for text length (e.g. restricting a name to 15 characters), date range (e.g. restricting date of birth between 10 Jan 1990 and 30 Dec 1998), and email format (e.g. ensuring the presence of '@' in the value provided), ensuring the validity of the entered data and displaying error messages if invalid data is entered.", 'The transcript offers step-by-step instructions for applying rules in data validation, such as setting rules for text length, date range, and email format, and demonstrates the application of these rules to multiple cells, ensuring the adherence to specific input requirements and the display of relevant error messages for invalid data entry.']}, {'end': 14464.291, 'start': 13948.75, 'title': 'Excel data validation and pivot tables', 'summary': 'Covers data validation techniques including restricting values for email, salary, and rank, and implementing data validation based on a list of items. it also explores the concept of pivot tables and pivot charts for data analysis in excel.', 'duration': 515.541, 'highlights': ['Implementing data validation for email, salary, and rank The speaker demonstrates how to restrict values for email, salary, and rank using data validation, such as setting an email format, specifying a minimum salary value of 50,000, and defining a range for the rank field.', 'Restricting values using data validation based on a list of items The tutorial explains how to implement data validation based on a list of items, such as restricting the values for city names and places within each city, ensuring that only specific values can be entered for each category.', 'Explaining Pivot Tables and Pivot Charts for data analysis The chapter provides an overview of Pivot Tables as a summary of data, which allows grouping and analysis of large data sets, and introduces Pivot Charts as visual representations of Pivot Tables, enabling meaningful data analysis.']}, {'end': 14659.556, 'start': 14464.291, 'title': 'Creating pivot tables for data analysis', 'summary': 'Demonstrates how to create pivot tables in excel to analyze data, including selecting ranges, choosing fields for analysis and applying filters, with an example showing the total sales for each category and subcategories with maximum sales.', 'duration': 195.265, 'highlights': ['The chapter demonstrates creating pivot tables to analyze data, including selecting ranges and choosing fields for analysis. The transcript provides a step-by-step demonstration of creating pivot tables in Excel, including selecting ranges and choosing fields for analysis.', 'An example is shown where the total sales for each category are analyzed using a pivot table. The example showcases the process of using a pivot table to find the total sales for each category in the dataset.', 'Applying filters to identify specific values within the data is discussed. The transcript explains the process of applying filters to identify specific values within the dataset for further analysis.']}, {'end': 14883.797, 'start': 14660.157, 'title': 'Analyzing sales data for subcategories', 'summary': 'Explains how to find the subcategory of items sold the maximum under each category using excel, including the steps for filtering and selecting specific subcategories, such as furnishings, binders, and phones.', 'duration': 223.64, 'highlights': ['By selecting category, subcategory, and quantity, the data for subcategories within a particular category can be filtered and analyzed, allowing for insights into the highest-selling subcategories.', 'The process involves using slicers to apply filters for specific subcategories, such as furnishings, binders, and phones, to analyze the sales data effectively.', 'The tutorial demonstrates the steps to filter and select specific subcategories, such as furnishings, binders, and phones, to gain insights into the highest-selling subcategories and overall sales data.']}, {'end': 15143.592, 'start': 14884.357, 'title': 'Pivot table analysis for profit', 'summary': 'Explains how to use pivot tables to identify the top three states with the highest average profit for each region, by selecting region and state, summarizing values by average, sorting the data, and applying filtering to display the desired information.', 'duration': 259.235, 'highlights': ['Using pivot tables to identify top three states by average profit for each region The chapter demonstrates the process of selecting region and state, summarizing values by average, sorting the data, and applying filtering to display the top three states with the highest average profit for each region.', 'Summarizing values by average in pivot tables The process of changing the summarization of profit values from sum to average is explained, enabling the display of average profit per region in the pivot table.', 'Sorting data in pivot tables based on average profit The explanation includes the process of sorting the data by average profit in descending order within each region, allowing for the identification of states with the highest average profit.', 'Applying filtering to display top three states with highest average profit The chapter covers the use of filtering to display the top three states with the highest average profit for each region, providing a focused view of the desired information.', 'Selecting region and state in pivot tables The process of selecting region and state within the pivot table is highlighted, representing the initial steps in identifying the top three states with the highest average profit for each region.']}], 'duration': 1738.36, 'thumbnail': 'https://coursnap.oss-ap-southeast-1.aliyuncs.com/video-capture/0zznNu9ukCw/pics/0zznNu9ukCw13405232.jpg', 'highlights': ['The chapter explains the usage of conditional formatting in Excel to highlight cell values based on icon sets and data bars, with options like color scales and different shapes, providing a detailed walkthrough of managing rules and applying icon sets, making it useful for data analysts and business intelligence teams.', 'It provides a comprehensive guide on how to use data validation in Excel to control and restrict data input in cells, with specific examples and rules for text length, date range, and email format, ensuring the validity of the entered data and displaying error messages if invalid data is entered.', 'The chapter demonstrates creating pivot tables to analyze data, including selecting ranges and choosing fields for analysis, providing a step-by-step demonstration of creating pivot tables in Excel.', 'By selecting category, subcategory, and quantity, the data for subcategories within a particular category can be filtered and analyzed, allowing for insights into the highest-selling subcategories.', 'Using pivot tables to identify top three states by average profit for each region, summarizing values by average, sorting the data, and applying filtering to display the top three states with the highest average profit for each region.']}, {'end': 16056.819, 'segs': [{'end': 15180.368, 'src': 'embed', 'start': 15144.092, 'weight': 0, 'content': [{'end': 15144.633, 'text': 'Say okay.', 'start': 15144.092, 'duration': 0.541}, {'end': 15147.734, 'text': 'And now you see the data has been filtered.', 'start': 15145.273, 'duration': 2.461}, {'end': 15149.874, 'text': 'So it says per region.', 'start': 15148.154, 'duration': 1.72}, {'end': 15157.557, 'text': 'Now you can always select this and you can say, what is this? So this is basically your average of profit.', 'start': 15150.554, 'duration': 7.003}, {'end': 15170.221, 'text': 'Now we are looking at each region and the states the top three states, as we wanted, within the region and what is the average.', 'start': 15158.357, 'duration': 11.864}, {'end': 15180.368, 'text': 'now we have one more question what is the percentage contribution of each subcategory of products under each category to the total sales?', 'start': 15170.221, 'duration': 10.147}], 'summary': "Data filtered by region, top 3 states' average profit analyzed. seeking percentage contribution of subcategories to total sales.", 'duration': 36.276, 'max_score': 15144.092, 'thumbnail': 'https://coursnap.oss-ap-southeast-1.aliyuncs.com/video-capture/0zznNu9ukCw/pics/0zznNu9ukCw15144092.jpg'}, {'end': 15310.884, 'src': 'embed', 'start': 15283.886, 'weight': 4, 'content': [{'end': 15288.229, 'text': 'say okay, and then just close this.', 'start': 15283.886, 'duration': 4.343}, {'end': 15292.993, 'text': 'so once you have closed this, you see already the data is in.', 'start': 15288.229, 'duration': 4.764}, {'end': 15303.175, 'text': 'So now we have our data with subcategories, but we also want the data to be sorted, might be in a descending order,', 'start': 15295.686, 'duration': 7.489}, {'end': 15307.72, 'text': 'which tells which subcategory is contributing more than others.', 'start': 15303.175, 'duration': 4.545}, {'end': 15310.884, 'text': 'We can select how many subcategories we are interested in.', 'start': 15308.161, 'duration': 2.723}], 'summary': 'Data sorted in descending order by subcategory contribution.', 'duration': 26.998, 'max_score': 15283.886, 'thumbnail': 'https://coursnap.oss-ap-southeast-1.aliyuncs.com/video-capture/0zznNu9ukCw/pics/0zznNu9ukCw15283886.jpg'}, {'end': 15710.626, 'src': 'embed', 'start': 15678.04, 'weight': 1, 'content': [{'end': 15682.724, 'text': 'So that will basically give me all the regions as different columns.', 'start': 15678.04, 'duration': 4.684}, {'end': 15685.626, 'text': 'And then finally, we want the sales.', 'start': 15683.344, 'duration': 2.282}, {'end': 15686.867, 'text': "So let's select this.", 'start': 15685.746, 'duration': 1.121}, {'end': 15690.47, 'text': "And now let's look what we have.", 'start': 15687.868, 'duration': 2.602}, {'end': 15698.736, 'text': 'So if you see here, we have our data, which is for each quarter.', 'start': 15691.11, 'duration': 7.626}, {'end': 15710.626, 'text': 'It gives me the total data, but what we would be interested in is not looking at the total data, but we are only interested in quarter of 2016.', 'start': 15700.279, 'duration': 10.347}], 'summary': 'Analyzing data by region, focusing on sales for q1 2016.', 'duration': 32.586, 'max_score': 15678.04, 'thumbnail': 'https://coursnap.oss-ap-southeast-1.aliyuncs.com/video-capture/0zznNu9ukCw/pics/0zznNu9ukCw15678040.jpg'}], 'start': 15144.092, 'title': 'Using pivot tables for sales data analysis', 'summary': 'Covers using pivot tables to analyze sales data, including filtering by region, calculating average profit, determining subcategory contribution to total sales, and analyzing quarterly sales for 2016 across all regions.', 'chapters': [{'end': 15361.396, 'start': 15144.092, 'title': 'Pivot table analysis for sales data', 'summary': 'Explains how to use pivot tables to analyze sales data, including filtering by region, calculating average profit, and determining the percentage contribution of each subcategory to total sales.', 'duration': 217.304, 'highlights': ['The chapter explains how to use pivot tables to analyze sales data, including filtering by region, calculating average profit, and determining the percentage contribution of each subcategory to total sales. This summarizes the main focus of the chapter, outlining the use of pivot tables for analyzing sales data and the specific tasks involved.', 'The data has been filtered to show the average profit for the top three states within each region. This highlights the specific action of filtering the data to display the average profit for the top three states within each region, providing a clear focus on the analysis.', 'The chapter also addresses the determination of the percentage contribution of each subcategory of products under each category to the total sales. This emphasizes the importance of determining the percentage contribution of each subcategory to the total sales, showcasing the comprehensive nature of the data analysis.', 'The process involves using pivot tables to summarize sales data and calculate the percentage of grand total for each subcategory. This highlights the specific process of using pivot tables to summarize sales data and calculate the percentage of grand total for each subcategory, providing a practical approach to data analysis.']}, {'end': 15554.086, 'start': 15361.916, 'title': 'Sales subcategory contribution and lowest profit analysis', 'summary': 'Illustrates how to analyze the percentage contribution of each subcategory to total sales and determine the customer with the lowest profit in the home office segment in each state using pivot tables in excel.', 'duration': 192.17, 'highlights': ['Using pivot tables in Excel, the chapter demonstrates how to analyze the percentage contribution of each subcategory to total sales and determine the customer with the lowest profit in the home office segment in each state.', 'The process involves selecting row and column fields, filtering for home office segment and state, and identifying the customer with the lowest profit, resulting in a comprehensive analysis of sales subcategory contribution and lowest profit per state.', 'The analysis concludes with the demonstration of sorting and filtering techniques to identify the lowest profit values per state within the home office segment, providing a practical approach to data analysis and decision-making.']}, {'end': 16056.819, 'start': 15554.086, 'title': 'Pivot table for quarterly sales', 'summary': 'Explains how to use pivot tables to find the sales made in each quarter of 2016 for all regions, including detailed steps for data slicing, filtering, and chart creation.', 'duration': 502.733, 'highlights': ['Explaining the process of selecting and organizing data fields for quarterly sales analysis, including filtering for 2016 and creating a line chart. 2016 sales data, quarterly division, line chart creation.', 'Demonstrating the process of calculating profit made in each year for all product categories in east and west regions using pivot tables and field selection. Profit calculation, product category analysis, regional filtering.']}], 'duration': 912.727, 'thumbnail': 'https://coursnap.oss-ap-southeast-1.aliyuncs.com/video-capture/0zznNu9ukCw/pics/0zznNu9ukCw15144092.jpg', 'highlights': ['Using pivot tables to analyze sales data, including filtering by region, calculating average profit, and determining the percentage contribution of each subcategory to total sales.', 'The data has been filtered to show the average profit for the top three states within each region.', 'The process involves using pivot tables to summarize sales data and calculate the percentage of grand total for each subcategory.', 'The chapter demonstrates how to analyze the percentage contribution of each subcategory to total sales and determine the customer with the lowest profit in the home office segment in each state.', 'Explaining the process of selecting and organizing data fields for quarterly sales analysis, including filtering for 2016 and creating a line chart.']}, {'end': 17277.598, 'segs': [{'end': 16397.875, 'src': 'embed', 'start': 16344.065, 'weight': 1, 'content': [{'end': 16349.449, 'text': 'i can do a insert function and that shows me different functions which are here now.', 'start': 16344.065, 'duration': 5.384}, {'end': 16359.455, 'text': 'vlookup is showing up because i have recently searched for it, or You can basically just type in here, look, and you can do a go.', 'start': 16349.449, 'duration': 10.006}, {'end': 16366.259, 'text': 'So that shows you all the lookup options what you have like lookup, H lookup, match, V lookup and so on.', 'start': 16359.796, 'duration': 6.463}, {'end': 16368.481, 'text': 'So we would be interested in V lookup.', 'start': 16366.74, 'duration': 1.741}, {'end': 16371.242, 'text': "So let's select that and click on OK.", 'start': 16368.961, 'duration': 2.281}, {'end': 16377.506, 'text': 'Now that basically opens up this function arguments and it shows what does this function do.', 'start': 16371.743, 'duration': 5.763}, {'end': 16381.769, 'text': 'So it says looks for a value in the leftmost column of a table.', 'start': 16377.686, 'duration': 4.083}, {'end': 16387.231, 'text': 'and then returns a value in the same row from a column you specify.', 'start': 16382.649, 'duration': 4.582}, {'end': 16391.853, 'text': 'By default, the table must be sorted in an ascending order.', 'start': 16387.871, 'duration': 3.982}, {'end': 16397.875, 'text': 'Now, you can basically say this is what you would want to search for, what is the lookup value.', 'start': 16392.332, 'duration': 5.543}], 'summary': 'Demonstration of using vlookup function, which looks for a value in a table and returns a corresponding value in the same row.', 'duration': 53.81, 'max_score': 16344.065, 'thumbnail': 'https://coursnap.oss-ap-southeast-1.aliyuncs.com/video-capture/0zznNu9ukCw/pics/0zznNu9ukCw16344065.jpg'}, {'end': 16531.767, 'src': 'embed', 'start': 16505.8, 'weight': 0, 'content': [{'end': 16515.824, 'text': 'so, for example, we had selected something like our search and if you see here that already selects or shows me employee id, employee name,', 'start': 16505.8, 'duration': 10.024}, {'end': 16518.625, 'text': 'email address, so it gives me the range.', 'start': 16515.824, 'duration': 2.801}, {'end': 16521.267, 'text': 'now, column index number.', 'start': 16518.625, 'duration': 2.642}, {'end': 16525.765, 'text': 'so which column are we interested in?', 'start': 16521.267, 'duration': 4.498}, {'end': 16528.086, 'text': 'that means what is the value we are searching for.', 'start': 16525.765, 'duration': 2.321}, {'end': 16531.767, 'text': 'so we are searching for employee name, which is the second column.', 'start': 16528.086, 'duration': 3.681}], 'summary': 'The search function selects employee details such as id, name, and email address, with the second column being the employee name.', 'duration': 25.967, 'max_score': 16505.8, 'thumbnail': 'https://coursnap.oss-ap-southeast-1.aliyuncs.com/video-capture/0zznNu9ukCw/pics/0zznNu9ukCw16505800.jpg'}, {'end': 16822.891, 'src': 'embed', 'start': 16795.567, 'weight': 3, 'content': [{'end': 16802.692, 'text': 'now employee name can basically have a value from the cell or whatever value you would want to key in.', 'start': 16795.567, 'duration': 7.125}, {'end': 16805.923, 'text': 'do we do it?', 'start': 16805.103, 'duration': 0.82}, {'end': 16809.985, 'text': 'so we basically start with our v lookup.', 'start': 16805.923, 'duration': 4.062}, {'end': 16813.727, 'text': "so that's the function we are interested in.", 'start': 16809.985, 'duration': 3.742}, {'end': 16815.588, 'text': 'so you can just do a double click.', 'start': 16813.727, 'duration': 1.861}, {'end': 16819.75, 'text': 'now you are interested in finding out the value, whichever is given here.', 'start': 16815.588, 'duration': 4.162}, {'end': 16822.891, 'text': "so that's the lookup value.", 'start': 16819.75, 'duration': 3.141}], 'summary': 'Employee name can have a value from the cell or any input. utilize vlookup function to find desired value.', 'duration': 27.324, 'max_score': 16795.567, 'thumbnail': 'https://coursnap.oss-ap-southeast-1.aliyuncs.com/video-capture/0zznNu9ukCw/pics/0zznNu9ukCw16795567.jpg'}], 'start': 16056.819, 'title': 'Using excel functions for data analysis', 'summary': 'Covers using pivot table for data analysis, vlookup in excel to search for values in a named range, vlookup function including specifying lookup value, and using vlookup and iferror functions for error handling and data retrieval in excel.', 'chapters': [{'end': 16166.325, 'start': 16056.819, 'title': 'Using pivot table for data analysis', 'summary': 'Explains the process of using a pivot table to analyze filtered data by region, displaying profits per category, and creating a histogram with various options and dimensions.', 'duration': 109.506, 'highlights': ['The chapter highlights the process of using a pivot table to analyze filtered data by region, displaying profits per category, and creating a histogram with various options and dimensions.', 'The data has been filtered based on the region, allowing analysis of profits by category, with options to delve into specific years and months for further insight.', 'The process demonstrates the selection of a simple histogram with two-dimensional options, including the ability to choose different regions, years, and categories for analysis.']}, {'end': 16419.627, 'start': 16166.325, 'title': 'Using vlookup in excel', 'summary': 'Explains how to use vlookup in excel to search for a value in a named range, such as finding an employee name based on their id, and demonstrates the process of creating a named range and using the vlookup function.', 'duration': 253.302, 'highlights': ['VLOOKUP function allows searching for a value in a named range based on specific criteria, such as finding an employee name based on their ID. The VLOOKUP function in Excel enables users to efficiently search for a value in a named range, like finding an employee name based on their ID, enhancing data retrieval process.', 'Demonstrates the process of creating a named range by selecting the data, defining a name, and using the named range in the VLOOKUP function. The tutorial illustrates the steps to create a named range in Excel by selecting the data, defining a name for the range, and utilizing it in the VLOOKUP function, streamlining data referencing.', 'Provides guidance on using the VLOOKUP function, including selecting the lookup value, specifying the table array, and determining the column index number to retrieve the desired value. The tutorial offers guidance on utilizing the VLOOKUP function, including selecting the lookup value, specifying the table array (named range), and determining the column index number for retrieving the desired value, enhancing data search process.']}, {'end': 16587.28, 'start': 16419.627, 'title': 'Excel vlookup function', 'summary': 'Explains how to use the vlookup function in excel, including specifying the lookup value, table array, column index number, and range lookup option, and provides an example of searching for an employee name based on their employee id.', 'duration': 167.653, 'highlights': ["The VLOOKUP function in Excel allows for range lookup, with the option of 'true' for closest match and 'false' for an exact match, and requires specifying the lookup value, table array, column index number, and range lookup option.", "An example is provided of using the VLOOKUP function to search for an employee name based on their employee ID, with the result showing the corresponding employee name, such as 'parallel'.", 'The function allows for searching for values in different columns by adjusting the column index number and can be applied to other similar lookup scenarios.', 'The chapter emphasizes the importance of accurately specifying the parameters for the VLOOKUP function, including the lookup value, table array, column index number, and range lookup option, to ensure the desired result is obtained.']}, {'end': 16852.511, 'start': 16587.78, 'title': 'Using vlookup and iferror', 'summary': 'Explains the use of vlookup and iferror functions to handle errors and display custom messages, enabling accurate data retrieval and error handling in excel.', 'duration': 264.731, 'highlights': ['The use of IFERROR function to handle errors and display custom messages. The IFERROR function is used to display custom messages when a value is not found, ensuring accurate data retrieval and error handling.', 'Demonstration of using VLOOKUP and IFERROR to retrieve specific values and handle errors. The demonstration showcases the combined use of VLOOKUP and IFERROR to accurately retrieve specific values and handle errors by displaying custom messages.', 'Explanation of using VLOOKUP to retrieve job titles based on employee names. The explanation demonstrates the use of VLOOKUP to retrieve job titles based on employee names, ensuring efficient data retrieval in Excel.']}, {'end': 17277.598, 'start': 16852.511, 'title': 'Using vlookup and iferror', 'summary': 'Demonstrates the use of vlookup and iferror functions to search for a job title, with examples and explanation of the errors encountered and their resolutions.', 'duration': 425.087, 'highlights': ['Demonstrating the use of VLOOKUP and IFERROR functions The chapter extensively demonstrates the use of VLOOKUP and IFERROR functions to search for a job title, including examples of errors encountered and their resolutions.', 'Explanation of errors encountered and their resolutions The transcript provides detailed explanations of the errors encountered while using VLOOKUP and IFERROR functions, along with their resolutions, aiding in better understanding of the concepts.', 'Illustrating the process of searching for a job title using VLOOKUP and IFERROR The process of searching for a job title using VLOOKUP and IFERROR is illustrated with examples, providing a practical understanding of the functions.']}], 'duration': 1220.779, 'thumbnail': 'https://coursnap.oss-ap-southeast-1.aliyuncs.com/video-capture/0zznNu9ukCw/pics/0zznNu9ukCw16056819.jpg', 'highlights': ['The chapter emphasizes the importance of accurately specifying the parameters for the VLOOKUP function, including the lookup value, table array, column index number, and range lookup option, to ensure the desired result is obtained.', 'The demonstration showcases the combined use of VLOOKUP and IFERROR to accurately retrieve specific values and handle errors by displaying custom messages.', 'The tutorial offers guidance on utilizing the VLOOKUP function, including selecting the lookup value, specifying the table array (named range), and determining the column index number for retrieving the desired value, enhancing data search process.', 'The IFERROR function is used to display custom messages when a value is not found, ensuring accurate data retrieval and error handling.', 'The process of searching for a job title using VLOOKUP and IFERROR is illustrated with examples, providing a practical understanding of the functions.']}, {'end': 19016.815, 'segs': [{'end': 17357.203, 'src': 'embed', 'start': 17306.925, 'weight': 0, 'content': [{'end': 17314.428, 'text': 'so you have employee id, you have your employee name, you have employee email address,', 'start': 17306.925, 'duration': 7.503}, {'end': 17322.118, 'text': 'you basically have the job title of different employees and then basically, you have the salary.', 'start': 17314.428, 'duration': 7.69}, {'end': 17329.175, 'text': "So this is the data which has been given to you and you are asked to search or you're interested in finding out,", 'start': 17322.438, 'duration': 6.737}, {'end': 17334.994, 'text': 'say the salary based on employee name or job title based on employee id.', 'start': 17329.713, 'duration': 5.281}, {'end': 17339.956, 'text': 'so what we need to do is we need to define the range here.', 'start': 17334.994, 'duration': 4.962}, {'end': 17343.376, 'text': 'now, range can depend on what you are searching for.', 'start': 17339.956, 'duration': 3.42}, {'end': 17353.961, 'text': "so, for example, when i am searching employee name and salary, so i am interested in these four rows when i'm saying employee id and job title,", 'start': 17343.376, 'duration': 10.585}, {'end': 17357.203, 'text': "then might be this is the range and i don't need salary.", 'start': 17353.961, 'duration': 3.242}], 'summary': 'Given employee data with employee id, name, email, job title, and salary, to search salary by name or job title, and define related ranges.', 'duration': 50.278, 'max_score': 17306.925, 'thumbnail': 'https://coursnap.oss-ap-southeast-1.aliyuncs.com/video-capture/0zznNu9ukCw/pics/0zznNu9ukCw17306925.jpg'}, {'end': 17544.909, 'src': 'embed', 'start': 17515.927, 'weight': 6, 'content': [{'end': 17519.188, 'text': "Now that's basically because we have fed in the value here.", 'start': 17515.927, 'duration': 3.261}, {'end': 17521.828, 'text': 'And that is basically giving me this.', 'start': 17520.168, 'duration': 1.66}, {'end': 17530.69, 'text': 'So I can again do if error, if I would be interested in, to basically take care of error message if the value is not found.', 'start': 17522.428, 'duration': 8.262}, {'end': 17534.399, 'text': 'For that, you can look into the previous example, which is VLOOKUP.', 'start': 17530.77, 'duration': 3.629}, {'end': 17542.026, 'text': 'Now, similarly, we are interested in finding out the job title for employee ID 105.', 'start': 17534.839, 'duration': 7.187}, {'end': 17544.909, 'text': 'How do we do that? So we need to use HLOOKUP.', 'start': 17542.026, 'duration': 2.883}], 'summary': 'Using vlookup to find job title for employee id 105, then using hlookup.', 'duration': 28.982, 'max_score': 17515.927, 'thumbnail': 'https://coursnap.oss-ap-southeast-1.aliyuncs.com/video-capture/0zznNu9ukCw/pics/0zznNu9ukCw17515927.jpg'}, {'end': 17600.627, 'src': 'embed', 'start': 17570.134, 'weight': 4, 'content': [{'end': 17574.035, 'text': 'Now what do we want to search for? So we will say this is the value.', 'start': 17570.134, 'duration': 3.901}, {'end': 17576.236, 'text': 'Then we need to give a range.', 'start': 17574.775, 'duration': 1.461}, {'end': 17582.082, 'text': 'now, as i said, if you would want to give a range manually, so for example,', 'start': 17577.037, 'duration': 5.045}, {'end': 17593.795, 'text': "i'll say a and then i'll say a one colon and then i'm interested in g and then the row will be four.", 'start': 17582.082, 'duration': 11.713}, {'end': 17597.539, 'text': 'so salary row is not what we are, we are not interested in.', 'start': 17593.795, 'duration': 3.744}, {'end': 17600.627, 'text': "so let's say g and then we can give four.", 'start': 17597.539, 'duration': 3.088}], 'summary': 'Searching for a range from a to g with a row value of 4.', 'duration': 30.493, 'max_score': 17570.134, 'thumbnail': 'https://coursnap.oss-ap-southeast-1.aliyuncs.com/video-capture/0zznNu9ukCw/pics/0zznNu9ukCw17570134.jpg'}, {'end': 17783.287, 'src': 'embed', 'start': 17757.451, 'weight': 3, 'content': [{'end': 17765.775, 'text': "so let's go for lookup function here, and lookup function will basically help us in searching what we are interested in.", 'start': 17757.451, 'duration': 8.324}, {'end': 17775.582, 'text': 'so we are interested in finding out the employee name and we are interested in finding out the salary based on the employee name.', 'start': 17765.775, 'duration': 9.807}, {'end': 17777.123, 'text': 'so how do we do that?', 'start': 17775.582, 'duration': 1.541}, {'end': 17783.287, 'text': 'so here in lookup i can first give the value which is here, employee name.', 'start': 17777.123, 'duration': 6.164}], 'summary': 'Using the lookup function to search for employee name and salary.', 'duration': 25.836, 'max_score': 17757.451, 'thumbnail': 'https://coursnap.oss-ap-southeast-1.aliyuncs.com/video-capture/0zznNu9ukCw/pics/0zznNu9ukCw17757451.jpg'}, {'end': 17873.458, 'src': 'embed', 'start': 17839.548, 'weight': 2, 'content': [{'end': 17842.911, 'text': 'that is basically the column from which we want the value.', 'start': 17839.548, 'duration': 3.363}, {'end': 17844.172, 'text': "that's our salary column.", 'start': 17842.911, 'duration': 1.261}, {'end': 17848.456, 'text': "so let's select this, and that completes our lookup function.", 'start': 17844.172, 'duration': 4.284}, {'end': 17858.726, 'text': 'so now, if you hit on enter, it shows that for this employee, where the name is hunk saunders, the salary is five thousand four hundred.', 'start': 17848.456, 'duration': 10.27}, {'end': 17863.676, 'text': 'Now you can test it by basically giving some other name.', 'start': 17859.195, 'duration': 4.481}, {'end': 17873.458, 'text': 'So for example, if I replace this with, say, Fred Stone, and that basically shows me the value for Fred Stone.', 'start': 17864.216, 'duration': 9.242}], 'summary': 'Demonstrating a lookup function to find salary, showing 5400 for hunk saunders and enabling testing with different names.', 'duration': 33.91, 'max_score': 17839.548, 'thumbnail': 'https://coursnap.oss-ap-southeast-1.aliyuncs.com/video-capture/0zznNu9ukCw/pics/0zznNu9ukCw17839548.jpg'}, {'end': 18236.679, 'src': 'embed', 'start': 18205.578, 'weight': 5, 'content': [{'end': 18215.645, 'text': "so let's do a comma zero and then we are interested in finding out the salary based on this match, and salary is in our fifth column.", 'start': 18205.578, 'duration': 10.067}, {'end': 18227.232, 'text': "so let's basically give the column number here and then just close this bracket so that basically completes your function and just hit on enter.", 'start': 18216.184, 'duration': 11.048}, {'end': 18232.956, 'text': 'so that shows me the salary of peter daniels, right.', 'start': 18227.232, 'duration': 5.724}, {'end': 18236.679, 'text': 'so this is an easy way when you can use the index function.', 'start': 18232.956, 'duration': 3.723}], 'summary': 'Using the index function to find salary based on match in column 5.', 'duration': 31.101, 'max_score': 18205.578, 'thumbnail': 'https://coursnap.oss-ap-southeast-1.aliyuncs.com/video-capture/0zznNu9ukCw/pics/0zznNu9ukCw18205578.jpg'}], 'start': 17278.838, 'title': 'Excel data lookup functions', 'summary': 'Covers techniques for performing horizontal lookup, using lookup and if error functions, and leveraging index match for data lookup in excel. it includes creating named ranges, defining ranges, and handling errors, with examples and detailed explanations.', 'chapters': [{'end': 17654.85, 'start': 17278.838, 'title': 'Horizontal lookup in excel', 'summary': 'Explains how to perform horizontal lookup in excel using hlookup, including creating named ranges, defining range, and using row index number to search for values, such as salary based on employee name and job title based on employee id.', 'duration': 376.012, 'highlights': ['The chapter explains how to perform horizontal lookup in Excel using HLOOKUP. It illustrates the use of HLOOKUP to perform a horizontal lookup in Excel, providing a fundamental understanding of the function.', 'Creating named ranges and defining range for horizontal lookup. It demonstrates the process of creating named ranges and defining ranges for horizontal lookup, enhancing the efficiency of data retrieval.', 'Using row index number to search for values, such as salary based on employee name and job title based on employee id. It showcases the utilization of the row index number to search for specific values, such as salary based on employee name and job title based on employee id, adding a practical application of HLOOKUP.']}, {'end': 18029.573, 'start': 17654.85, 'title': 'Using lookup and if error functions', 'summary': "Explains how to use the hlookup and vlookup functions to search for specific data within a range, and demonstrates the use of the lookup function to find the salary based on an employee's name and the employee id based on email address. additionally, it showcases the application of the if error function to handle errors in the lookup process.", 'duration': 374.723, 'highlights': ['The chapter explains how to use the HLOOKUP and VLOOKUP functions to search for specific data within a range. It demonstrates the use of HLOOKUP and VLOOKUP functions to search for data horizontally and vertically within a range.', "The lookup function is used to find the salary based on an employee's name and the employee id based on email address. It showcases the application of the lookup function to find the salary based on an employee's name and the employee id based on email address.", "Application of the if error function to handle errors in the lookup process is demonstrated. It showcases the application of the if error function to handle errors in the lookup process, with an example of displaying 'not found' if the value is not present."]}, {'end': 18472.816, 'start': 18029.573, 'title': 'Using index match for data lookup', 'summary': 'Demonstrates how to use the index match function to find specific employee data such as salary and employee id by explaining the process and the functions involved, with examples and detailed explanations.', 'duration': 443.243, 'highlights': ['The chapter explains how to use the index match function to find specific employee data such as salary and employee ID. The transcript provides detailed explanations on utilizing the index match function to locate specific employee data like salary and employee ID.', 'The process of using the index match function for data lookup is demonstrated with detailed examples. Detailed examples are provided to illustrate the process of using the index match function for data lookup.', 'The explanation includes the step-by-step process of using the index match function, from defining the range of data to specifying the matching conditions and the desired value to be found. The transcript outlines the step-by-step process of using the index match function, covering the definition of data range, matching conditions, and the desired value to be found.']}, {'end': 19016.815, 'start': 18473.417, 'title': 'Using index match and lookup functions', 'summary': 'Explains how to use index match and lookup functions in excel to search for data, providing insights on handling errors and identifying differences between excel versions.', 'duration': 543.398, 'highlights': ["Explanation of XLN prefix for functions not available in the user's Excel version The prefix 'XLN' is added to functions not available in the user's Excel version, such as in Excel 2013, and the user may encounter this when receiving files from others using newer versions, like Office 365 or Excel 2016.", 'Demonstration of fixing Excel errors by adjusting functions and ranges The transcript provides examples of fixing errors by adjusting functions and ranges, such as removing XLN prefix and modifying ranges to resolve errors and obtain desired values.', 'Usage of if error and vlookup functions to handle errors and search for values The usage of if error and vlookup functions to handle errors and search for values is exemplified, showcasing how to utilize these functions to ensure accurate data retrieval and error handling in Excel.']}], 'duration': 1737.977, 'thumbnail': 'https://coursnap.oss-ap-southeast-1.aliyuncs.com/video-capture/0zznNu9ukCw/pics/0zznNu9ukCw17278838.jpg', 'highlights': ['The chapter explains how to use the index match function to find specific employee data such as salary and employee ID.', 'The explanation includes the step-by-step process of using the index match function, from defining the range of data to specifying the matching conditions and the desired value to be found.', 'Demonstration of fixing Excel errors by adjusting functions and ranges.', 'Usage of if error and vlookup functions to handle errors and search for values.', "The lookup function is used to find the salary based on an employee's name and the employee id based on email address.", 'Creating named ranges and defining range for horizontal lookup.', 'Using row index number to search for values, such as salary based on employee name and job title based on employee id.', 'The chapter explains how to perform horizontal lookup in Excel using HLOOKUP.']}, {'end': 20244.219, 'segs': [{'end': 19075.237, 'src': 'embed', 'start': 19046.405, 'weight': 2, 'content': [{'end': 19052.512, 'text': 'getting your descriptive statistics, such as your mean median mode and so on.', 'start': 19046.405, 'duration': 6.107}, {'end': 19055.475, 'text': 'so we can do that and we can use excel for it.', 'start': 19052.512, 'duration': 2.963}, {'end': 19060.888, 'text': 'So, for example, you can, if you are given some data, say I have temperature,', 'start': 19055.905, 'duration': 4.983}, {'end': 19066.612, 'text': 'price of ice cream units sold and I would want to have descriptive statistics on this.', 'start': 19060.888, 'duration': 5.724}, {'end': 19075.237, 'text': 'What I can do is I can click on file and here in file, you can click on options and within options, click on add-ins.', 'start': 19067.092, 'duration': 8.145}], 'summary': 'Obtain descriptive statistics using excel for given data sets.', 'duration': 28.832, 'max_score': 19046.405, 'thumbnail': 'https://coursnap.oss-ap-southeast-1.aliyuncs.com/video-capture/0zznNu9ukCw/pics/0zznNu9ukCw19046405.jpg'}, {'end': 19123.995, 'src': 'embed', 'start': 19096.203, 'weight': 0, 'content': [{'end': 19100.246, 'text': 'ok, now that basically should add more options to your excel.', 'start': 19096.203, 'duration': 4.043}, {'end': 19105.569, 'text': 'so if you click on data, so here you see data analysis and solver,', 'start': 19100.246, 'duration': 5.323}, {'end': 19111.888, 'text': 'And this is what we would want to use to get our descriptive statistics for these three columns.', 'start': 19106.525, 'duration': 5.363}, {'end': 19118.812, 'text': "So for example, let's say temperature or you can even give the names later.", 'start': 19112.448, 'duration': 6.364}, {'end': 19121.093, 'text': 'Once you get your descriptive statistics.', 'start': 19118.992, 'duration': 2.101}, {'end': 19123.995, 'text': "So for example, let's go for data analysis.", 'start': 19121.593, 'duration': 2.402}], 'summary': 'Adding options to excel for data analysis and getting descriptive statistics for specified columns.', 'duration': 27.792, 'max_score': 19096.203, 'thumbnail': 'https://coursnap.oss-ap-southeast-1.aliyuncs.com/video-capture/0zznNu9ukCw/pics/0zznNu9ukCw19096203.jpg'}, {'end': 19183.143, 'src': 'embed', 'start': 19152.293, 'weight': 1, 'content': [{'end': 19155.355, 'text': 'So, for example, I will say temperature.', 'start': 19152.293, 'duration': 3.062}, {'end': 19160.42, 'text': 'Now, if I do this and I have selected the heading, just look at that.', 'start': 19156.296, 'duration': 4.124}, {'end': 19162.88, 'text': 'And now you need an output range.', 'start': 19161.098, 'duration': 1.782}, {'end': 19164.482, 'text': "So let's just select this.", 'start': 19163.121, 'duration': 1.361}, {'end': 19168.187, 'text': 'And then you can have your cursor blinking here.', 'start': 19165.123, 'duration': 3.064}, {'end': 19171.571, 'text': "Let's select say fields here.", 'start': 19168.807, 'duration': 2.764}, {'end': 19174.434, 'text': 'And this is where I would want the output.', 'start': 19172.372, 'duration': 2.062}, {'end': 19177.678, 'text': 'Now it also said what options do you want.', 'start': 19174.754, 'duration': 2.924}, {'end': 19179.16, 'text': 'So it has output range.', 'start': 19177.838, 'duration': 1.322}, {'end': 19183.143, 'text': 'We can then select summary statistics, confidence level.', 'start': 19179.72, 'duration': 3.423}], 'summary': 'Demonstrating how to select temperature, output range, and summary statistics in a tool.', 'duration': 30.85, 'max_score': 19152.293, 'thumbnail': 'https://coursnap.oss-ap-southeast-1.aliyuncs.com/video-capture/0zznNu9ukCw/pics/0zznNu9ukCw19152293.jpg'}, {'end': 20117.875, 'src': 'embed', 'start': 20085.608, 'weight': 3, 'content': [{'end': 20088.689, 'text': 'so, for example, here I have seven values.', 'start': 20085.608, 'duration': 3.081}, {'end': 20101.392, 'text': 'now, if I go for periodic sampling, the sample or periodic sample value which I need to give has to be lesser than the total input values.', 'start': 20088.689, 'duration': 12.703}, {'end': 20109.831, 'text': "so, for example, we can do this let's go in here and let's go for data analysis.", 'start': 20102.668, 'duration': 7.163}, {'end': 20111.772, 'text': 'so we can go for sampling here.', 'start': 20109.831, 'duration': 1.941}, {'end': 20115.254, 'text': 'click on ok, and that needs a range of values.', 'start': 20111.772, 'duration': 3.482}, {'end': 20117.875, 'text': 'so we will select a2 to a8.', 'start': 20115.254, 'duration': 2.621}], 'summary': 'Periodic sampling of 7 values with range a2 to a8 for data analysis.', 'duration': 32.267, 'max_score': 20085.608, 'thumbnail': 'https://coursnap.oss-ap-southeast-1.aliyuncs.com/video-capture/0zznNu9ukCw/pics/0zznNu9ukCw20085608.jpg'}], 'start': 19016.815, 'title': 'Using excel for descriptive statistics', 'summary': 'Discusses using excel add-ins to perform descriptive statistics on data sets, including mean, median, and mode, with a focus on selecting input and output ranges and specifying summary statistics. it details the process of obtaining descriptive statistics for price of ice cream and units sold, using data analysis, merging and centering data, and changing ranges. it also covers creating histograms for analyzing the frequency of values and finding correlations between variables using the correlation function and data analysis add-in. additionally, it addresses the use of correlation to measure relationships between variables in excel and demonstrates periodic and random sampling techniques for data analysis.', 'chapters': [{'end': 19294.516, 'start': 19016.815, 'title': 'Using excel for descriptive statistics', 'summary': 'Discusses using excel add-ins to perform descriptive statistics, such as mean, median, and mode, on data sets, demonstrating the process through examples of temperature and price of ice cream, with a focus on selecting input and output ranges and specifying summary statistics.', 'duration': 277.701, 'highlights': ['The process of using Excel add-ins to perform descriptive statistics, such as mean, median, and mode, on data sets, is demonstrated through examples of temperature and price of ice cream, emphasizing the selection of input and output ranges and specifying summary statistics.', 'The chapter explains the process of selecting input and output ranges and specifying summary statistics when using Excel add-ins to perform descriptive statistics, such as mean, median, and mode, on data sets.', 'The tutorial showcases the use of Excel add-ins for performing descriptive statistics on data sets, with a focus on selecting input and output ranges and specifying summary statistics.']}, {'end': 19556.755, 'start': 19294.516, 'title': 'Data analysis and descriptive statistics', 'summary': 'Details the process of obtaining descriptive statistics for price of ice cream and units sold, including using data analysis, merging and centering data, and changing ranges, while also discussing the use of histograms for analyzing the frequency of values in a range and exploring the relationship between different variables.', 'duration': 262.239, 'highlights': ['Obtaining descriptive statistics for price of ice cream and units sold using data analysis and manual range changes The speaker explains the process of obtaining descriptive statistics for price of ice cream and units sold, including using data analysis, and manually changing the range to accurately represent the data being analyzed.', 'Using histograms for analyzing the frequency of values in a range The chapter discusses the use of histograms for analyzing the frequency of values in a range, providing an example related to temperature bins and discussing how it can be used to understand the distribution of data.', 'Exploring the relationship between variables and conducting analysis on a single variable The chapter mentions the exploration of the relationship between variables, such as temperature and sale of ice cream, and the possibility of conducting different types of analysis on a single variable to understand its impact on other variables.']}, {'end': 19944.9, 'start': 19556.755, 'title': 'Creating histogram and finding correlation', 'summary': 'Discusses creating a histogram to analyze the frequency of values using pareto chart and finding correlations between variables using the correlation function and data analysis add-in.', 'duration': 388.145, 'highlights': ['Creating a histogram using the Pareto chart and analyzing the frequency of values. The histogram provides frequency analysis with values ranging from 0 to 50, showing the highest frequency as five and the range of 0 to 20 having a frequency of two.', 'Identifying correlations between variables using the correlation function and data analysis add-in. Correlation values of 0.2859 between temperature and units sold, and correlation values between temperature and price of ice cream are calculated.', 'Utilizing the data analysis add-in to find correlations between multiple variables. The process involves selecting all columns, specifying the output range, and obtaining correlation values for different variables.']}, {'end': 20244.219, 'start': 19944.9, 'title': 'Data analysis techniques: correlation, sampling', 'summary': 'Discusses the use of correlation to measure relationships between variables in excel, and demonstrates periodic and random sampling techniques for data analysis, including the selection of sample values and frequency of occurrence.', 'duration': 299.319, 'highlights': ['Correlation in Excel Demonstrates the process of using correlation to measure the relationship between variables in Excel, with an example yielding a correlation value of 0.96149.', 'Periodic Sampling Technique Explains the process of periodic sampling, including selecting a periodic sample value and obtaining specific values based on a given period, with examples of selecting samples at different frequencies from a set of temperature values.', 'Random Sampling Technique Describes the method of random sampling, allowing the user to pick a specific number of values randomly from a set of data, and demonstrates the selection of random temperature values in Excel.']}], 'duration': 1227.404, 'thumbnail': 'https://coursnap.oss-ap-southeast-1.aliyuncs.com/video-capture/0zznNu9ukCw/pics/0zznNu9ukCw19016815.jpg', 'highlights': ['The process of using Excel add-ins to perform descriptive statistics, such as mean, median, and mode, on data sets, is demonstrated through examples of temperature and price of ice cream, emphasizing the selection of input and output ranges and specifying summary statistics.', 'Obtaining descriptive statistics for price of ice cream and units sold using data analysis and manual range changes The speaker explains the process of obtaining descriptive statistics for price of ice cream and units sold, including using data analysis, and manually changing the range to accurately represent the data being analyzed.', 'Creating a histogram using the Pareto chart and analyzing the frequency of values. The histogram provides frequency analysis with values ranging from 0 to 50, showing the highest frequency as five and the range of 0 to 20 having a frequency of two.', 'Correlation in Excel Demonstrates the process of using correlation to measure the relationship between variables in Excel, with an example yielding a correlation value of 0.96149.']}, {'end': 21899.612, 'segs': [{'end': 20271.264, 'src': 'embed', 'start': 20244.74, 'weight': 4, 'content': [{'end': 20253.847, 'text': 'So we can use Excel to do a simple sampling and we can choose whether we would want to go for periodic sampling or random sampling.', 'start': 20244.74, 'duration': 9.107}, {'end': 20260.939, 'text': "let's continue learning excel and how excel can be used for data analysis.", 'start': 20254.375, 'duration': 6.564}, {'end': 20269.703, 'text': "now we have seen sampling, histogram, correlation, descriptive stats, and now also let's look at regression.", 'start': 20260.939, 'duration': 8.764}, {'end': 20271.264, 'text': 'now what is regression?', 'start': 20269.703, 'duration': 1.561}], 'summary': 'Learn how to perform sampling and explore data analysis using excel, including regression.', 'duration': 26.524, 'max_score': 20244.74, 'thumbnail': 'https://coursnap.oss-ap-southeast-1.aliyuncs.com/video-capture/0zznNu9ukCw/pics/0zznNu9ukCw20244740.jpg'}, {'end': 20513.676, 'src': 'embed', 'start': 20484.799, 'weight': 0, 'content': [{'end': 20488.28, 'text': 'that when we talk about regression analysis, what does it do?', 'start': 20484.799, 'duration': 3.481}, {'end': 20497.563, 'text': 'It helps you understand how the dependent variable changes when one or more independent variables vary.', 'start': 20488.68, 'duration': 8.883}, {'end': 20506.372, 'text': 'and it basically allows us to mathematically determine which of those variables really has an impact.', 'start': 20498.483, 'duration': 7.889}, {'end': 20513.676, 'text': 'So, technically, when we talk about regression analysis model that is based on the sum of squares,', 'start': 20507.372, 'duration': 6.304}], 'summary': 'Regression analysis helps understand how dependent variable changes with independent variables, mathematically determining impactful variables.', 'duration': 28.877, 'max_score': 20484.799, 'thumbnail': 'https://coursnap.oss-ap-southeast-1.aliyuncs.com/video-capture/0zznNu9ukCw/pics/0zznNu9ukCw20484799.jpg'}, {'end': 20593.859, 'src': 'embed', 'start': 20539.955, 'weight': 1, 'content': [{'end': 20545.561, 'text': 'if there are residuals, that is, points which do not fall on the regression line.', 'start': 20539.955, 'duration': 5.606}, {'end': 20554.814, 'text': 'and in terms of statistics, when we talk about statistics, we differentiate between a simple and multiple linear regression.', 'start': 20545.561, 'duration': 9.253}, {'end': 20559.436, 'text': 'so you have something called a simple linear regression models,', 'start': 20554.814, 'duration': 4.622}, {'end': 20567.218, 'text': 'which basically gives you the relationship between dependent variable and one independent variable using a linear function,', 'start': 20559.436, 'duration': 7.782}, {'end': 20573.902, 'text': 'and if you use two or more variables, that is, explanatory variables, To predict the dependent variable,', 'start': 20567.218, 'duration': 6.684}, {'end': 20576.924, 'text': 'we are actually dealing with multiple linear regression.', 'start': 20573.902, 'duration': 3.022}, {'end': 20586.752, 'text': 'So if the dependent variable is modeled as a nonlinear function because the data relationships do not follow a straight line,', 'start': 20577.525, 'duration': 9.227}, {'end': 20589.475, 'text': 'we have to use nonlinear regression.', 'start': 20586.752, 'duration': 2.723}, {'end': 20593.859, 'text': "Now, what we will do is we'll see how we can work on this.", 'start': 20590.515, 'duration': 3.344}], 'summary': 'Explains simple and multiple linear regression, as well as nonlinear regression for modeling data relationships.', 'duration': 53.904, 'max_score': 20539.955, 'thumbnail': 'https://coursnap.oss-ap-southeast-1.aliyuncs.com/video-capture/0zznNu9ukCw/pics/0zznNu9ukCw20539955.jpg'}, {'end': 20670.026, 'src': 'embed', 'start': 20642.388, 'weight': 3, 'content': [{'end': 20646.971, 'text': 'So we want X values and we want our Y values.', 'start': 20642.388, 'duration': 4.583}, {'end': 20652.876, 'text': "Right So when you talk about Y, that's your dependent variable or your response or target.", 'start': 20647.332, 'duration': 5.544}, {'end': 20657.36, 'text': 'So that is in our case unit sold and X values are one.', 'start': 20653.397, 'duration': 3.963}, {'end': 20661.401, 'text': 'Set of features or variables or multiple variables.', 'start': 20658.399, 'duration': 3.002}, {'end': 20670.026, 'text': 'So here I can click on this series x values and then I can select this Now in y values.', 'start': 20661.421, 'duration': 8.605}], 'summary': 'Desire x and y values; y represents unit sold, x can be one or multiple variables.', 'duration': 27.638, 'max_score': 20642.388, 'thumbnail': 'https://coursnap.oss-ap-southeast-1.aliyuncs.com/video-capture/0zznNu9ukCw/pics/0zznNu9ukCw20642388.jpg'}], 'start': 20244.74, 'title': 'Regression analysis in excel', 'summary': 'Covers using excel for regression analysis, understanding regression concepts, creating scatter plots, performing regression analysis, interpreting r, r square, and anova values, and explaining simple regression analysis with statistical functions in excel.', 'chapters': [{'end': 20593.859, 'start': 20244.74, 'title': 'Using excel for regression analysis', 'summary': 'Covers using excel for regression analysis, including understanding the concept of regression, identifying independent and dependent variables, and analyzing the relationship between variables, with a focus on statistical modeling and estimating relationships between variables.', 'duration': 349.119, 'highlights': ['Regression analysis is used to estimate the relationship between two or more variables, such as temperature, price of ice cream, and units sold, allowing predictions to be made (e.g., sales predictions based on temperature and price of ice cream).', 'Understanding the distinction between independent and dependent variables in regression analysis, where independent variables (predictors) may influence the dependent variable (response or target), and analyzing the relationship between variables using scatterplots and values such as R square.', 'Differentiating between simple linear regression (relationship between dependent variable and one independent variable) and multiple linear regression (using two or more explanatory variables to predict the dependent variable), with the possibility of using nonlinear regression for data relationships that do not follow a straight line.']}, {'end': 20778.396, 'start': 20593.919, 'title': 'Creating scatter plots in excel', 'summary': 'Explains how to create a scatter plot in excel using variables such as temperature and price of ice cream to analyze the units sold, and also demonstrates how to add regression lines and compare values.', 'duration': 184.477, 'highlights': ['Creating a scatter plot to analyze the impact of temperature and price of ice cream on units sold in Excel. The chapter demonstrates how to create a scatter plot in Excel using variables like temperature and price of ice cream to analyze the units sold.', 'Adding regression lines, coefficients, and R-squared values to the scatter plot for analysis. It explains how to add regression lines, coefficients, and R-squared values to the scatter plot in Excel for analysis.', 'Customizing the scatter plot by adding titles, legends, and comparing values for data analysis. The chapter explains how to customize the scatter plot by adding titles, legends, and comparing values for data analysis in Excel.']}, {'end': 21226.963, 'start': 20778.436, 'title': 'Regression analysis in excel', 'summary': 'Covers the process of performing regression analysis in excel, including the components of a linear regression equation, the steps to perform regression analysis in excel, and the interpretation of the output, with a focus on understanding the relationship between dependent and independent variables.', 'duration': 448.527, 'highlights': ['The chapter explains the components of a linear regression equation, including the formula y = bx + a + c, where x is the independent variable, y is the dependent variable, a is the y intercept, and b is the slope of the regression line, which represents the rate of change for Y as X changes. linear regression equation components', 'The process of performing regression analysis in Excel is detailed, including selecting the input Y range (dependent variable) and X range (independent variable), choosing labels, output range, selecting residual options, line fit plots, and normal probability plots, and interpreting the summary output. steps to perform regression analysis in Excel', 'The interpretation of the regression analysis output in Excel is emphasized, with a focus on understanding the automatic calculations performed by Excel and the need for interpreting the results to comprehend the relationship between variables. emphasis on interpretation of regression analysis output']}, {'end': 21609.784, 'start': 21226.963, 'title': 'Multiple r, r square, and regression analysis', 'summary': 'Discusses the concepts of multiple r, r square, and regression analysis, highlighting the significance of these metrics in determining the strength of relationship between variables and the goodness of fit of the model, with specific emphasis on interpreting the values of r square and significance f in anova.', 'duration': 382.821, 'highlights': ['Interpreting R Square The R square value of 0.45 indicates that 45% of the dependent variables are explained by the independent variables in the regression model, demonstrating a moderate level of fit.', 'Significance F in ANOVA The significance F value is crucial for assessing the reliability and statistical significance of the results, where a value less than 0.05 indicates an acceptable model, while a value greater than 0.05 suggests the need for reconsidering independent variables.', 'Correlation Coefficient (Multiple R) The correlation coefficient measures the strength of the linear relationship between two variables, with its absolute value indicating the relationship strength, where 1 signifies a strong positive relationship, -1 denotes a strong negative relationship, and 0 represents no relationship at all.']}, {'end': 21899.612, 'start': 21609.784, 'title': 'Simple regression analysis', 'summary': 'Explains the residual output in simple regression analysis, comparing predicted and actual values, using statistical functions in excel for linear regression, and concludes with an invitation for queries and feedback.', 'duration': 289.828, 'highlights': ['The residual output in simple regression analysis is used to compare the estimated and actual number of units sold, with examples such as 11.209 compared to 12, and provides insights on the difference between predicted and actual values.', 'Statistical functions in Excel, including linest, slope, intercept, and correlation, can be utilized for linear regression analysis, offering a simpler way to perform regression analysis using the data analysis add-in.', 'The chapter concludes with an invitation for queries and feedback on the topics covered, providing resources and expert assistance to resolve any concerns or questions.']}], 'duration': 1654.872, 'thumbnail': 'https://coursnap.oss-ap-southeast-1.aliyuncs.com/video-capture/0zznNu9ukCw/pics/0zznNu9ukCw20244740.jpg', 'highlights': ['Regression analysis estimates the relationship between variables for predictions (e.g., sales predictions based on temperature and price of ice cream).', 'Understanding the distinction between independent and dependent variables in regression analysis and analyzing the relationship between variables using scatterplots and R square values.', 'Creating a scatter plot in Excel using temperature and price of ice cream to analyze units sold, adding regression lines, coefficients, and R-squared values, and customizing the scatter plot for data analysis.', 'Explaining the components of a linear regression equation, performing regression analysis in Excel, and interpreting the regression analysis output with a focus on understanding the relationship between variables.', 'Interpreting R Square, Significance F in ANOVA, and Correlation Coefficient (Multiple R) for assessing the reliability and statistical significance of regression results.']}], 'highlights': ['The chapter emphasizes the need for a business analyst and their importance for a company, setting the stage for further discussion on the topic.', 'The session covers key knowledge areas of a business analyst, offering comprehensive understanding for those interested in pursuing a career in business analysis.', 'It discusses critical skills, roles, and responsibilities of a business analyst, providing valuable insights for aspiring professionals.', 'The differentiation between a business analyst and a data analyst is explained, providing clarity on the distinctions between the two roles.', 'Various Excel functions such as lookup functions (HLookup, VLookup, XLOOKUP), sorting, filtering, conditional formatting, data validation, pivot tables, pivot charts, and data analysis with toolpath are thoroughly covered, catering to individuals keen on mastering business analytics with Excel.', 'Companies hiring for business analysts include Paytm, Cognizant, Shell, Cisco, Google, Dell, Ernst & Young, Oracle, and Barclays.', 'Top business analysis tools and software used include Microsoft Excel, Trello, MySQL, Microsoft SQL Server, PostgreSQL, Zira, and Tableau.', 'Average annual salary of a business analyst in the United States is $68,973, while in India it can be nearly 6 lakh rupees per annum.', 'Data analysts use analytical, statistical, and business intelligence tools to spot trends and patterns.', 'Business analysts identify business goals, understand organization problems, and come up with cost-effective solutions.', "The average salary for a business analyst in the US is $69,000, and in India, it's nearly 6 lakh rupees per annum.", "In the US, a data analyst earns an average salary of $60,710 per annum, and in India, it's around 4,24,000 rupees per annum.", 'Major companies hiring business analysts include Oracle, Google, Cognizant, Amazon, Ernest & Young, IBM, Dell, and Cisco.', 'Companies hiring data analysts include Twitter, Google, Facebook, Amazon, Shell, Tesla, Apple, and Equifax.', 'Understanding the differentiation between risk and issue is crucial in business analytics, as it impacts proactive response planning and reactive responses to potential problems.', 'The critical role of business model analysis in evaluating the viability of businesses, especially in specialized sectors like ski resort analysis, underscores the specialized expertise and comprehensive understanding needed for business analysts to excel in this niche aspect of business analytics.', 'The fundamental role of Excel proficiency in business analytics is highlighted through practical tasks like extracting city and state names from zip codes and using functions like SUMIF and filters for data analysis.', 'The tutorial emphasizes that Tableau may look complicated, but it primarily involves simple drag-and-drop actions for querying and summarization.', 'Agile and Waterfall Model Comparison The Agile model is adaptable to requirement changes and has an incremental approach with testing in every phase, while the Waterfall model is a structured methodology where changes in requirements are difficult to implement and testing is only performed in the final phase.', 'The chapter provides insights into filtering data based on specific conditions, such as filtering values above or below average, offering guidance on data analysis and manipulation.', 'The chapter covers various Excel functions and formulas, including using sum, sumif, auto sum, and filling cells, with examples of totaling numbers, adding numbers over 50, and adding amounts less than 100, alongside shortcuts and filling options.', 'The chapter illustrates importing data from local files, CSV files, and web sources, including the process of splitting imported data and creating connections with databases, expanding the capabilities of Excel for data acquisition.', 'The chapter covers sorting data based on specific criteria, applying filters to find specific information, and implementing advanced filters to meet complex conditions.', 'The chapter provides examples and step-by-step explanations for using SUMIFS to calculate total revenue generated from specific items and regions.', 'The chapter explains how to use the index match function to find specific employee data such as salary and employee ID.', 'Regression analysis estimates the relationship between variables for predictions (e.g., sales predictions based on temperature and price of ice cream).']}