title
Step by step roadmap to learn data science in 6 months | Complete data science roadmap

description
Complete data science roadmap: Do you want to learn data science step by step starting from very beginning? Are you the person who doesn't have any technical or programming background and want to join every growing data science industry? Are you a mechanical engineer or a bachelor of commerce graduate and have doubts about what the learning path would look like for you? If you are one of these then this video is for you. I will explain a step by step learning path along with weekly planning in this video. I've mentioned a complete list of online free resources that you can use to learn data science completely free | data science roadmap step by step roadmap: https://github.com/codebasics/py/blob/master/TechTopics/DataScienceRoadMap2020/data_science_roadmap_2020.md 🤝 Support my youtube channel by buying a data science, coding 👕 T-shirt: https://kaaipo.com/collections/coding-collection/?utm_source=youtube&utm_medium=post&utm_campaign=codebasics-community ⭐️ Timestamps ⭐️ 0:00 Why data science? 1:22 Excel 5:13 Statistics 7:34 Python or R 10:30 Visualization library 14:28 Exploratory data analysis 15:44 Machine learning 20:41 Deep Learning 22:07 SQL & MongoDB 24:33 BI tools 26:37 Soft skills Do you want to learn technology from me? Check https://codebasics.io/?utm_source=description&utm_medium=yt&utm_campaign=description&utm_id=description for my affordable video courses. After you finish learning for this 6 months follow this guideline to get a job: https://www.youtube.com/watch?v=e4i_EGAa0gU To get an internship follow this: https://www.youtube.com/watch?v=-JhV-FRQwQQ 🌎 My Website For Video Courses: https://codebasics.io/?utm_source=description&utm_medium=yt&utm_campaign=description&utm_id=description Need help building software or data analytics and AI solutions? My company https://www.atliq.com/ can help. Click on the Contact button on that website. #️⃣ Social Media #️⃣ 🔗 Discord: https://discord.gg/r42Kbuk 📸 Dhaval's Personal Instagram: https://www.instagram.com/dhavalsays/ 📸 Codebasics Instagram: https://www.instagram.com/codebasicshub/ 🔊 Facebook: https://www.facebook.com/codebasicshub 📱 Twitter: https://twitter.com/codebasicshub 📝 Linkedin (Personal): https://www.linkedin.com/in/dhavalsays/ 📝 Linkedin (Codebasics): https://www.linkedin.com/company/codebasics/ 🔗 Patreon: https://www.patreon.com/codebasics?fan_landing=true DISCLAIMER: All opinions expressed in this video are of my own and not that of my employers'.

detail
{'title': 'Step by step roadmap to learn data science in 6 months | Complete data science roadmap', 'heatmap': [{'end': 351.561, 'start': 290.968, 'weight': 0.701}, {'end': 407.43, 'start': 380.059, 'weight': 0.727}, {'end': 644.722, 'start': 624.322, 'weight': 0.767}, {'end': 1493.939, 'start': 1472.774, 'weight': 0.822}], 'summary': 'Learn data science in six months with a plan involving free online resources, including excel for personal finance and statistics, python for data science, a two-month roadmap for learning data science, importance of eda and machine learning, databases for data scientists, and learning bi tools and effective strategies, emphasizing dedicating specific hours daily and recommended resources.', 'chapters': [{'end': 122.729, 'segs': [{'end': 122.729, 'src': 'embed', 'start': 17.674, 'weight': 0, 'content': [{'end': 28.681, 'text': "In this video, I'm going to show you step by step approach of learning data science, mostly by using online free resources in six month time period.", 'start': 17.674, 'duration': 11.007}, {'end': 39.606, 'text': "I'm assuming you do four hour dedicated study with focus every single day, and by doing that you can learn data science now.", 'start': 29.361, 'duration': 10.245}, {'end': 42.807, 'text': 'data science learning is an ongoing journey.', 'start': 39.606, 'duration': 3.201}, {'end': 44.207, 'text': 'i am still learning today.', 'start': 42.807, 'duration': 1.4}, {'end': 51.65, 'text': 'the six month will give you a very solid base so that you can start doing data science project.', 'start': 44.207, 'duration': 7.443}, {'end': 57.191, 'text': "so many people have doubts that they don't have technical background and can they learn data science?", 'start': 51.65, 'duration': 5.541}, {'end': 62.214, 'text': 'i have a physiotherapist friend who wanted to jump into data science industry.', 'start': 57.191, 'duration': 5.023}, {'end': 65.075, 'text': "He did some courses and he's working as a data scientist.", 'start': 62.254, 'duration': 2.821}, {'end': 72.16, 'text': 'So if a physiotherapist person who is from a totally irrelevant background can do it, you can do it also.', 'start': 65.516, 'duration': 6.644}, {'end': 78.205, 'text': 'I know so many people and information is available online for free.', 'start': 72.421, 'duration': 5.784}, {'end': 82.487, 'text': 'So all you need is a laptop, internet and a solid willpower.', 'start': 78.305, 'duration': 4.182}, {'end': 90.778, 'text': 'Believe it or not, so many data scientists and data analysts use Excel in their day to day life.', 'start': 83.548, 'duration': 7.23}, {'end': 94.282, 'text': 'So Excel is the first step in your data science journey.', 'start': 91.098, 'duration': 3.184}, {'end': 104.674, 'text': 'You need to learn certain things such as macros, formulas, how to do filtering, VBA, pivot table, Vlookup, etc.', 'start': 94.923, 'duration': 9.751}, {'end': 105.474, 'text': 'in Excel.', 'start': 104.974, 'duration': 0.5}, {'end': 110.058, 'text': 'Excel is a very basic tool that allows you to do data science.', 'start': 106.115, 'duration': 3.943}, {'end': 115.283, 'text': 'Data science, after all, is a process of drawing insights from your data.', 'start': 110.599, 'duration': 4.684}, {'end': 122.729, 'text': 'And when we did not have big data or programming languages, people were using Excel to do the data science.', 'start': 115.963, 'duration': 6.766}], 'summary': 'Learn data science in 6 months using free online resources with 4 hours daily, gaining a solid base to start projects, even with non-technical background. excel is a crucial first step in the data science journey.', 'duration': 105.055, 'max_score': 17.674, 'thumbnail': 'https://coursnap.oss-ap-southeast-1.aliyuncs.com/video-capture/H4YcqULY1-Q/pics/H4YcqULY1-Q17674.jpg'}], 'start': 0.269, 'title': 'Learning data science', 'summary': 'Outlines a six-month plan to learn data science using free online resources, recommending four hours of daily study. it emphasizes that even non-technical professionals, like physiotherapists, can transition into the data science field.', 'chapters': [{'end': 122.729, 'start': 0.269, 'title': 'Learn data science in 6 months', 'summary': 'Discusses a step-by-step approach to learning data science in six months using online free resources, with the recommendation of four-hour daily study, and highlights that even individuals without a technical background, such as a physiotherapist, can successfully transition into the data science industry.', 'duration': 122.46, 'highlights': ['Individuals without a technical background can transition into data science, as exemplified by a physiotherapist who successfully made the switch.', 'A step-by-step approach to learning data science in six months is recommended, with a focus on using online free resources and dedicating four hours of study daily.', 'Emphasizes the importance of Excel as a basic tool for data science, highlighting the need to learn macros, formulas, filtering, VBA, pivot tables, and Vlookup.', 'Reiterates that data science learning is an ongoing journey and that acquiring a solid base in six months can enable individuals to start data science projects.', 'Stresses the availability of free information and resources online for learning data science, emphasizing the need for a laptop, internet, and strong willpower.']}], 'duration': 122.46, 'thumbnail': 'https://coursnap.oss-ap-southeast-1.aliyuncs.com/video-capture/H4YcqULY1-Q/pics/H4YcqULY1-Q269.jpg', 'highlights': ['Individuals without a technical background can transition into data science, as exemplified by a physiotherapist who successfully made the switch.', 'A step-by-step approach to learning data science in six months is recommended, with a focus on using online free resources and dedicating four hours of study daily.', 'Emphasizes the importance of Excel as a basic tool for data science, highlighting the need to learn macros, formulas, filtering, VBA, pivot tables, and Vlookup.', 'Stresses the availability of free information and resources online for learning data science, emphasizing the need for a laptop, internet, and strong willpower.', 'Reiterates that data science learning is an ongoing journey and that acquiring a solid base in six months can enable individuals to start data science projects.']}, {'end': 443.644, 'segs': [{'end': 243.173, 'src': 'embed', 'start': 215.033, 'weight': 1, 'content': [{'end': 224.639, 'text': 'what you want to do is you want to create your own excel file that can maintain your monthly expenses and income and in the end,', 'start': 215.033, 'duration': 9.606}, {'end': 229.523, 'text': 'you can plot the trends in which month you are having the maximum expense.', 'start': 224.639, 'duration': 4.884}, {'end': 233.025, 'text': 'what is your trend of income overall, month to month?', 'start': 229.523, 'duration': 3.502}, {'end': 234.867, 'text': 'is it increasing or not?', 'start': 233.025, 'duration': 1.842}, {'end': 243.173, 'text': 'so all of this you will be able to do in Excel and, in the end, you are producing a tool which is helping you.', 'start': 234.867, 'duration': 8.306}], 'summary': 'Create an excel tool to track monthly expenses and income, analyze trends, and monitor income growth.', 'duration': 28.14, 'max_score': 215.033, 'thumbnail': 'https://coursnap.oss-ap-southeast-1.aliyuncs.com/video-capture/H4YcqULY1-Q/pics/H4YcqULY1-Q215033.jpg'}, {'end': 351.561, 'src': 'heatmap', 'start': 290.968, 'weight': 0.701, 'content': [{'end': 297.871, 'text': 'there is a youtube channel called chendu, and i suggest that you learn excel things from here.', 'start': 290.968, 'duration': 6.903}, {'end': 298.991, 'text': 'this guy is great.', 'start': 297.871, 'duration': 1.12}, {'end': 302.292, 'text': 'he explains excel really well.', 'start': 298.991, 'duration': 3.301}, {'end': 305.654, 'text': 'he also has this website called chendu.org.', 'start': 302.292, 'duration': 3.362}, {'end': 311.956, 'text': 'so if you are looking for any excel related help, uh, refer to this website and a youtube channel.', 'start': 305.654, 'duration': 6.302}, {'end': 319.12, 'text': "While you're learning Excel, you also want to tackle statistics, because statistics is used everywhere.", 'start': 312.396, 'duration': 6.724}, {'end': 324.022, 'text': "So the first resource I suggest is Khan Academy's basic course.", 'start': 319.58, 'duration': 4.442}, {'end': 330.666, 'text': 'If you look at this course, it has a very nice explanation using visualization.', 'start': 324.102, 'duration': 6.564}, {'end': 332.227, 'text': 'It also has exercises.', 'start': 330.746, 'duration': 1.481}, {'end': 342.394, 'text': 'So make sure you complete this course and you will learn basic things about what is normal distribution, the inferential statistics,', 'start': 332.767, 'duration': 9.627}, {'end': 351.561, 'text': 'the descriptive statistics, probability, the sample distribution, summarizing quantitative data and so on.', 'start': 342.394, 'duration': 9.167}], 'summary': "Chendu's youtube channel offers excellent excel tutorials. also, consider khan academy's basic statistics course for comprehensive learning.", 'duration': 60.593, 'max_score': 290.968, 'thumbnail': ''}, {'end': 351.561, 'src': 'embed', 'start': 319.58, 'weight': 0, 'content': [{'end': 324.022, 'text': "So the first resource I suggest is Khan Academy's basic course.", 'start': 319.58, 'duration': 4.442}, {'end': 330.666, 'text': 'If you look at this course, it has a very nice explanation using visualization.', 'start': 324.102, 'duration': 6.564}, {'end': 332.227, 'text': 'It also has exercises.', 'start': 330.746, 'duration': 1.481}, {'end': 342.394, 'text': 'So make sure you complete this course and you will learn basic things about what is normal distribution, the inferential statistics,', 'start': 332.767, 'duration': 9.627}, {'end': 351.561, 'text': 'the descriptive statistics, probability, the sample distribution, summarizing quantitative data and so on.', 'start': 342.394, 'duration': 9.167}], 'summary': "Complete khan academy's basic course for thorough understanding of statistics including normal distribution, inferential statistics, descriptive statistics, probability, sample distribution, and summarizing quantitative data.", 'duration': 31.981, 'max_score': 319.58, 'thumbnail': 'https://coursnap.oss-ap-southeast-1.aliyuncs.com/video-capture/H4YcqULY1-Q/pics/H4YcqULY1-Q319580.jpg'}, {'end': 407.43, 'src': 'heatmap', 'start': 380.059, 'weight': 0.727, 'content': [{'end': 388.483, 'text': 'this is also another great platform where you can learn things like different kind of charts, histogram and density plots.', 'start': 380.059, 'duration': 8.424}, {'end': 392.865, 'text': 'box plot is used for outlier removal.', 'start': 388.483, 'duration': 4.382}, {'end': 396.246, 'text': 'so you want to learn all these basic things.', 'start': 392.865, 'duration': 3.381}, {'end': 401.068, 'text': 'the other channel that i suggest is stat quest with joe strammer.', 'start': 396.246, 'duration': 4.822}, {'end': 407.43, 'text': 'this person explains complex concepts in a very simple manner, using visualizations.', 'start': 401.068, 'duration': 6.362}], 'summary': 'Learn about charts, box plots, and statistics on this platform, with a recommendation for statquest channel.', 'duration': 27.371, 'max_score': 380.059, 'thumbnail': 'https://coursnap.oss-ap-southeast-1.aliyuncs.com/video-capture/H4YcqULY1-Q/pics/H4YcqULY1-Q380059.jpg'}, {'end': 447.246, 'src': 'embed', 'start': 421.047, 'weight': 2, 'content': [{'end': 425.13, 'text': "you don't want to get stuck into one or two different topics.", 'start': 421.047, 'duration': 4.083}, {'end': 431.595, 'text': "you want to do parallel learning, so don't spend like three months just learning excellent statistics.", 'start': 425.13, 'duration': 6.465}, {'end': 434.037, 'text': 'two week time period is enough.', 'start': 431.595, 'duration': 2.442}, {'end': 435.918, 'text': "every day you're putting four hours.", 'start': 434.037, 'duration': 1.881}, {'end': 443.644, 'text': "if you are putting less time, then spend little, but don't spend like two or three months just learning excellent statistics,", 'start': 435.918, 'duration': 7.726}, {'end': 447.246, 'text': 'because then it will kind of demotivate you.', 'start': 444.544, 'duration': 2.702}], 'summary': 'Avoid focusing on just one or two topics, aim for parallel learning. spend 2 weeks, 4 hours daily for statistics to avoid demotivation.', 'duration': 26.199, 'max_score': 421.047, 'thumbnail': 'https://coursnap.oss-ap-southeast-1.aliyuncs.com/video-capture/H4YcqULY1-Q/pics/H4YcqULY1-Q421047.jpg'}], 'start': 125.017, 'title': 'Excel for personal finance and statistics', 'summary': 'Covers personal finance management using excel, including tracking monthly incomes and expenses, creating visualizations and charts, and learning basic statistics through online resources like chendu youtube channel and khan academy, dedicating four hours daily for two weeks.', 'chapters': [{'end': 289.783, 'start': 125.017, 'title': 'Personal finance management with excel', 'summary': 'Discusses using excel for personal finance management, including tracking monthly incomes and expenses, learning formulas for creating visualizations and charts, and creating a budget tracker as a beginner excel project.', 'duration': 164.766, 'highlights': ['Using Excel for personal finance management The chapter talks about using Excel to track monthly incomes and expenses, as well as creating visualization charts, and working on personal finance to improve skills as a data scientist or data analyst.', 'Learning formulas for creating visualizations and charts It emphasizes the importance of learning Excel formulas to create visualizations like bar charts for tracking expenses and income trends, and the mental reward of creating a tool that helps in personal finance management.', 'Creating a budget tracker as a beginner Excel project The chapter suggests creating a budget tracker as a beginner Excel project, taking inspiration from existing templates, and using Excel to plot trends in monthly expenses and income, thereby providing a mental reward and fostering a passion for learning.']}, {'end': 443.644, 'start': 290.968, 'title': 'Learning excel and statistics resources', 'summary': "Suggests learning from the chendu youtube channel and website for excel, then moving on to khan academy's basic statistics course with exercises and visualization. it also recommends other youtube channels for learning advanced statistics and parallel learning for two weeks, dedicating four hours daily.", 'duration': 152.676, 'highlights': ['The chapter suggests learning from the Chendu YouTube channel and website for Excel Chendu is recommended as a resource for learning Excel due to the great explanations and additional website resources.', "Khan Academy's basic statistics course is recommended with exercises and visualization Khan Academy's course offers a nice explanation using visualization, exercises, and covers concepts like normal distribution, inferential statistics, descriptive statistics, probability, sample distribution, and summarizing quantitative data.", 'Parallel learning for two weeks, dedicating four hours daily is recommended The suggestion is to spend two weeks learning Excel and statistics, dedicating four hours daily, and then move on to the next topic to avoid getting stuck on one or two different topics.']}], 'duration': 318.627, 'thumbnail': 'https://coursnap.oss-ap-southeast-1.aliyuncs.com/video-capture/H4YcqULY1-Q/pics/H4YcqULY1-Q125017.jpg', 'highlights': ["Learning basic statistics through Khan Academy's course with exercises and visualization", 'Using Excel to track monthly incomes and expenses, creating visualizations and charts', 'Dedicating four hours daily for two weeks to learn Excel and statistics']}, {'end': 613.836, 'segs': [{'end': 498.986, 'src': 'embed', 'start': 467.081, 'weight': 0, 'content': [{'end': 470.644, 'text': 'It is very versatile and it has a rich set of libraries.', 'start': 467.081, 'duration': 3.563}, {'end': 474.046, 'text': 'Now, many people get afraid of programming language.', 'start': 471.144, 'duration': 2.902}, {'end': 476.809, 'text': 'They are like, oh, programming, I cannot do it.', 'start': 474.086, 'duration': 2.723}, {'end': 479.351, 'text': "But trust me, it's not that hard.", 'start': 477.409, 'duration': 1.942}, {'end': 482.533, 'text': 'Python especially is English-like.', 'start': 479.891, 'duration': 2.642}, {'end': 484.655, 'text': 'It is so easy to learn.', 'start': 482.974, 'duration': 1.681}, {'end': 487.297, 'text': 'Even a high school student can learn it easily.', 'start': 485.236, 'duration': 2.061}, {'end': 489.239, 'text': 'Nowadays in the high school, they teach it.', 'start': 487.558, 'duration': 1.681}, {'end': 498.986, 'text': 'And when I was going to a nearby public library to teach Python as a volunteer, There was an eight year old kid who was learning Python.', 'start': 489.88, 'duration': 9.106}], 'summary': 'Python is versatile, easy to learn, and widely taught, even to an eight year old.', 'duration': 31.905, 'max_score': 467.081, 'thumbnail': 'https://coursnap.oss-ap-southeast-1.aliyuncs.com/video-capture/H4YcqULY1-Q/pics/H4YcqULY1-Q467081.jpg'}, {'end': 542.855, 'src': 'embed', 'start': 514.727, 'weight': 1, 'content': [{'end': 518.467, 'text': "You don't need any prior knowledge of programming to follow this tutorial.", 'start': 514.727, 'duration': 3.74}, {'end': 525.23, 'text': 'I start with the installation, then go over basic data types such as numbers, string and list.', 'start': 518.808, 'duration': 6.422}, {'end': 531.652, 'text': 'And then we discuss about control flow statements, if, for loops and such.', 'start': 525.93, 'duration': 5.722}, {'end': 538.534, 'text': 'Then we cover functions, dictionaries and tuples, modules, working with JSON, etc.', 'start': 532.432, 'duration': 6.102}, {'end': 542.855, 'text': 'You need to just do first 16 tutorials.', 'start': 539.494, 'duration': 3.361}], 'summary': 'Python tutorial covers installation, data types, control flow, functions, dictionaries, tuples, modules, json. recommended to complete first 16 tutorials.', 'duration': 28.128, 'max_score': 514.727, 'thumbnail': 'https://coursnap.oss-ap-southeast-1.aliyuncs.com/video-capture/H4YcqULY1-Q/pics/H4YcqULY1-Q514727.jpg'}, {'end': 613.836, 'src': 'embed', 'start': 567.028, 'weight': 2, 'content': [{'end': 570.57, 'text': 'So if I click on this link here, I will find an exercise.', 'start': 567.028, 'duration': 3.542}, {'end': 575.414, 'text': 'So you watch a video, learn things and you work on exercises.', 'start': 570.63, 'duration': 4.784}, {'end': 579.156, 'text': 'It is very important to consolidate your learning.', 'start': 575.774, 'duration': 3.382}, {'end': 587.86, 'text': 'after you do your own solution, you can click on the solution link to verify your answer with my answer.', 'start': 580.157, 'duration': 7.703}, {'end': 597.084, 'text': 'do not click on solution link directly, otherwise it will download the coronavirus to your computer and your computer will get a fever.', 'start': 587.86, 'duration': 9.224}, {'end': 598.365, 'text': 'so you get the point right.', 'start': 597.084, 'duration': 1.281}, {'end': 601.446, 'text': 'you want to work on it on your own first.', 'start': 598.365, 'duration': 3.081}, {'end': 603.247, 'text': 'then verify with my answer.', 'start': 601.446, 'duration': 1.801}, {'end': 610.614, 'text': 'Now I have designed this tutorial playlist without using any jargons.', 'start': 605.771, 'duration': 4.843}, {'end': 613.836, 'text': 'It is perfect for very average or below average person.', 'start': 610.694, 'duration': 3.142}], 'summary': 'Tutorial playlist to learn and verify exercises, avoiding jargon, suitable for average or below average learners.', 'duration': 46.808, 'max_score': 567.028, 'thumbnail': 'https://coursnap.oss-ap-southeast-1.aliyuncs.com/video-capture/H4YcqULY1-Q/pics/H4YcqULY1-Q567028.jpg'}], 'start': 444.544, 'title': 'Python for data science', 'summary': 'Emphasizes the importance of learning python for data science, highlighting its ease of learning and versatility, including anecdotes of an eight-year-old learning python, and recommends a tutorial playlist of 16 videos to consolidate learning, with emphasis on practicing exercises for effective learning.', 'chapters': [{'end': 613.836, 'start': 444.544, 'title': 'Python for data science', 'summary': 'Emphasizes the importance of learning python for data science, highlighting its ease of learning and versatility, including anecdotal evidence of an eight-year-old learning python, and recommends a tutorial playlist of 16 videos to consolidate learning, with emphasis on practicing exercises for effective learning.', 'duration': 169.292, 'highlights': ['Python is recommended as the programming language for data science due to its versatility and rich set of libraries, making it easy to learn and suitable for beginners, as exemplified by an eight-year-old learning Python.', 'A tutorial playlist of 16 videos is suggested for learning Python without prior programming knowledge, with an emphasis on practicing exercises to consolidate learning.', 'The importance of practicing exercises to consolidate learning is highlighted, with a caution against directly checking solutions and an anecdotal statement about the tutorial playlist being suitable for average or below average individuals.', 'The tutorial playlist is designed without using any jargon, making it suitable for beginners, emphasizing the need for patience and consolidation of learning through exercises.']}], 'duration': 169.292, 'thumbnail': 'https://coursnap.oss-ap-southeast-1.aliyuncs.com/video-capture/H4YcqULY1-Q/pics/H4YcqULY1-Q444544.jpg', 'highlights': ['Python is recommended for data science due to its versatility and rich libraries, making it easy to learn.', 'A tutorial playlist of 16 videos is suggested for learning Python without prior programming knowledge.', 'The importance of practicing exercises to consolidate learning is highlighted, cautioning against directly checking solutions.', 'The tutorial playlist is designed without using any jargon, making it suitable for beginners.']}, {'end': 876.376, 'segs': [{'end': 651.425, 'src': 'heatmap', 'start': 624.322, 'weight': 0.767, 'content': [{'end': 628.384, 'text': 'So you can just follow this tutorial playlist and learn R.', 'start': 624.322, 'duration': 4.062}, {'end': 639.899, 'text': 'you want to spend next one month, which is week number five to eight, in learning numpy pandas and data visualization library.', 'start': 629.975, 'duration': 9.924}, {'end': 644.722, 'text': 'these tools allow you to do data cleaning and data exploration.', 'start': 639.899, 'duration': 4.823}, {'end': 651.425, 'text': 'data scientists spend 70 percent of their time in doing data cleaning and exploration.', 'start': 644.722, 'duration': 6.703}], 'summary': 'Learn r from tutorial playlist. spend 1 month for numpy, pandas, and data visualization. tools for data cleaning and exploration. data scientists spend 70% time on data tasks.', 'duration': 27.103, 'max_score': 624.322, 'thumbnail': 'https://coursnap.oss-ap-southeast-1.aliyuncs.com/video-capture/H4YcqULY1-Q/pics/H4YcqULY1-Q624322.jpg'}, {'end': 677.362, 'src': 'embed', 'start': 644.722, 'weight': 0, 'content': [{'end': 651.425, 'text': 'data scientists spend 70 percent of their time in doing data cleaning and exploration.', 'start': 644.722, 'duration': 6.703}, {'end': 654.526, 'text': 'the model building part is only 20 or 30 percent.', 'start': 651.425, 'duration': 3.101}, {'end': 666.734, 'text': "So it's very important that you have a good grasp on NumPy pandas and visualization library, which could be either Matplotlib or Seaborn.", 'start': 656.707, 'duration': 10.027}, {'end': 677.362, 'text': 'Data cleaning process allows you to clean up your messy data and put it in a format such that it can be used by your model.', 'start': 667.315, 'duration': 10.047}], 'summary': 'Data scientists spend 70% of their time on data cleaning and exploration, while model building is only 20-30%.', 'duration': 32.64, 'max_score': 644.722, 'thumbnail': 'https://coursnap.oss-ap-southeast-1.aliyuncs.com/video-capture/H4YcqULY1-Q/pics/H4YcqULY1-Q644722.jpg'}, {'end': 743.899, 'src': 'embed', 'start': 716.223, 'weight': 3, 'content': [{'end': 720.205, 'text': 'And there are Jupyter notebooks and the code available.', 'start': 716.223, 'duration': 3.982}, {'end': 723.547, 'text': "So you can just practice while you're watching these videos.", 'start': 720.565, 'duration': 2.982}, {'end': 729.671, 'text': 'NumPy is much better than Python plain list because Python plain list is slow.', 'start': 724.628, 'duration': 5.043}, {'end': 733.873, 'text': "It's not optimal in terms of memory utilization.", 'start': 730.331, 'duration': 3.542}, {'end': 738.716, 'text': 'NumPy is ideal for storing huge arrays.', 'start': 734.854, 'duration': 3.862}, {'end': 743.899, 'text': "When you're doing data science, you're often dealing with huge arrays with a lot of numbers.", 'start': 739.416, 'duration': 4.483}], 'summary': 'Numpy is faster and more memory-efficient than python lists, ideal for data science with huge arrays.', 'duration': 27.676, 'max_score': 716.223, 'thumbnail': 'https://coursnap.oss-ap-southeast-1.aliyuncs.com/video-capture/H4YcqULY1-Q/pics/H4YcqULY1-Q716223.jpg'}, {'end': 851.794, 'src': 'embed', 'start': 773.607, 'weight': 1, 'content': [{'end': 779.512, 'text': 'When you are following this tutorial playlist for pandas, you will start with data frame basics.', 'start': 773.607, 'duration': 5.905}, {'end': 785.457, 'text': 'then you will learn how to read and write data from CSV and Excel files.', 'start': 779.512, 'duration': 5.945}, {'end': 789.161, 'text': 'Then the next two tutorials are on handling missing data.', 'start': 786.058, 'duration': 3.103}, {'end': 795.926, 'text': 'In data science, data scientists spend a lot of time actually in handling the missing values.', 'start': 789.421, 'duration': 6.505}, {'end': 801.007, 'text': 'You can also do group by, concat, merge etc.', 'start': 797.318, 'duration': 3.689}, {'end': 807.665, 'text': 'So you need to follow the tutorial up till tutorial number 9.', 'start': 801.448, 'duration': 6.217}, {'end': 811.926, 'text': 'My Pandas tutorials have received a great response from YouTube.', 'start': 807.665, 'duration': 4.261}, {'end': 815.408, 'text': 'You can see that from the views and from the likes.', 'start': 811.946, 'duration': 3.462}, {'end': 820.749, 'text': 'And these tutorials are perfect for any person who is just beginning the journey.', 'start': 815.988, 'duration': 4.761}, {'end': 825.031, 'text': "I don't use any jargons and try to explain things in a simple way.", 'start': 820.869, 'duration': 4.162}, {'end': 828.912, 'text': 'Also, in the video description, you will find my Jupyter notebooks.', 'start': 825.511, 'duration': 3.401}, {'end': 834.334, 'text': 'The next one is Matplotlib, which is a visualization library.', 'start': 829.912, 'duration': 4.422}, {'end': 841.542, 'text': "For that, you need to just follow these seven tutorials, where you'll go over different type of charts, such as bar chart, histogram,", 'start': 835.094, 'duration': 6.448}, {'end': 842.583, 'text': 'pie chart and so on.', 'start': 841.542, 'duration': 1.041}, {'end': 851.794, 'text': 'Matplotlib is very easy to use compact library but sometimes if you want to do some advanced stuff you can use Seaborn.', 'start': 844.025, 'duration': 7.769}], 'summary': 'Pandas tutorials cover basics, missing data, and received great response on youtube. matplotlib tutorials cover various types of charts.', 'duration': 78.187, 'max_score': 773.607, 'thumbnail': 'https://coursnap.oss-ap-southeast-1.aliyuncs.com/video-capture/H4YcqULY1-Q/pics/H4YcqULY1-Q773607.jpg'}], 'start': 614.876, 'title': 'Data science learning roadmap', 'summary': 'Outlines a two-month roadmap for learning data science, emphasizing spending the first month on numpy, pandas, and data visualization, as data scientists spend 70% of their time on data cleaning and exploration and the remaining 30% on model building, with an emphasis on the benefits and applications of numpy, pandas, and visualization libraries.', 'chapters': [{'end': 876.376, 'start': 614.876, 'title': 'Data science learning roadmap', 'summary': 'Outlines a two-month roadmap for learning data science, emphasizing spending the first month on numpy, pandas, and data visualization, as data scientists spend 70% of their time on data cleaning and exploration and the remaining 30% on model building, with an emphasis on the benefits and applications of numpy, pandas, and visualization libraries.', 'duration': 261.5, 'highlights': ['Data scientists spend 70% of their time on data cleaning and exploration, emphasizing the importance of learning NumPy, pandas, and visualization libraries.', 'NumPy is ideal for storing huge arrays, implemented in C++ and Fortran, making it super fast and more efficient than Python plain list.', 'Pandas tutorials cover data frame basics, reading and writing data from CSV and Excel files, handling missing data, and performing SQL type operations, providing comprehensive knowledge for beginners.', 'Matplotlib tutorials cover various types of charts, and Seaborn series is introduced for advanced visualization, demonstrating a well-structured learning path for data visualization.', 'The tutorials provided are beginner-friendly, receiving a great response from YouTube in terms of views and likes, and include Jupyter notebooks for practical learning.']}], 'duration': 261.5, 'thumbnail': 'https://coursnap.oss-ap-southeast-1.aliyuncs.com/video-capture/H4YcqULY1-Q/pics/H4YcqULY1-Q614876.jpg', 'highlights': ['Data scientists spend 70% of their time on data cleaning and exploration, emphasizing the importance of learning NumPy, pandas, and visualization libraries.', 'Pandas tutorials cover data frame basics, reading and writing data from CSV and Excel files, handling missing data, and performing SQL type operations, providing comprehensive knowledge for beginners.', 'Matplotlib tutorials cover various types of charts, and Seaborn series is introduced for advanced visualization, demonstrating a well-structured learning path for data visualization.', 'NumPy is ideal for storing huge arrays, implemented in C++ and Fortran, making it super fast and more efficient than Python plain list.', 'The tutorials provided are beginner-friendly, receiving a great response from YouTube in terms of views and likes, and include Jupyter notebooks for practical learning.']}, {'end': 1319.905, 'segs': [{'end': 975.608, 'src': 'embed', 'start': 899.684, 'weight': 0, 'content': [{'end': 910.208, 'text': 'So when you look at this notebook, you will get an idea on what type of exploratory data analysis you can do using Pandas and Matplotlib and Sabon,', 'start': 899.684, 'duration': 10.524}, {'end': 910.648, 'text': 'and so on.', 'start': 910.208, 'duration': 0.44}, {'end': 914.311, 'text': 'Kaggle also has a lot of data sets.', 'start': 911.528, 'duration': 2.783}, {'end': 921.52, 'text': 'If you go to kaggle.com slash data sets, you will find these data sets on which you can perform ADA.', 'start': 914.411, 'duration': 7.109}, {'end': 924.743, 'text': 'For example, if you are a food lover, there is an Indian food data set.', 'start': 921.76, 'duration': 2.983}, {'end': 930.41, 'text': 'So just download this and open a Jupyter notebook and start doing your small projects.', 'start': 924.763, 'duration': 5.647}, {'end': 941.084, 'text': 'So, after following tutorials, when you do small projects, you consolidate your understanding and you develop solid data analysis skills,', 'start': 931.411, 'duration': 9.673}, {'end': 944.048, 'text': 'which will be useful in data science process.', 'start': 941.084, 'duration': 2.964}, {'end': 952.91, 'text': "Once you know a little bit about exploratory data analysis, now it's the time to jump onto machine learning.", 'start': 945.604, 'duration': 7.306}, {'end': 957.434, 'text': 'So you want to spend your next one month in learning machine learning.', 'start': 953.19, 'duration': 4.244}, {'end': 963.939, 'text': "Now, if you're targeting a career of data analyst, machine learning knowledge is not that much needed.", 'start': 957.454, 'duration': 6.485}, {'end': 970.885, 'text': "Of course, if you have the knowledge, it's good, but it's not needed per se as per the job role.", 'start': 964.439, 'duration': 6.446}, {'end': 975.608, 'text': "But if you're targeting data scientist role, then machine learning knowledge is a must.", 'start': 971.505, 'duration': 4.103}], 'summary': 'Learn exploratory data analysis using pandas and matplotlib, then progress to machine learning for data science career.', 'duration': 75.924, 'max_score': 899.684, 'thumbnail': 'https://coursnap.oss-ap-southeast-1.aliyuncs.com/video-capture/H4YcqULY1-Q/pics/H4YcqULY1-Q899684.jpg'}, {'end': 1099.462, 'src': 'embed', 'start': 1069.755, 'weight': 3, 'content': [{'end': 1076.701, 'text': 'If you click on this link, you will find this particular playlist where we begin with the basics of machine learning.', 'start': 1069.755, 'duration': 6.946}, {'end': 1084.227, 'text': 'Then we cover linear regression, gradient descent, dummy variable, hot encoding, etc.', 'start': 1077.542, 'duration': 6.685}, {'end': 1091.173, 'text': 'Then we touch base on classification techniques such as logistic regression, decision tree, support vector machine.', 'start': 1084.808, 'duration': 6.365}, {'end': 1099.462, 'text': 'You need to know regression, classification, and clustering techniques in your basic machine learning course.', 'start': 1092.174, 'duration': 7.288}], 'summary': 'The machine learning playlist covers regression, classification, and clustering techniques.', 'duration': 29.707, 'max_score': 1069.755, 'thumbnail': 'https://coursnap.oss-ap-southeast-1.aliyuncs.com/video-capture/H4YcqULY1-Q/pics/H4YcqULY1-Q1069755.jpg'}, {'end': 1145.735, 'src': 'embed', 'start': 1117.818, 'weight': 1, 'content': [{'end': 1127.885, 'text': 'Here I have this 8-part tutorial series for building a website or an end-to-end project, where I cover web development, model building,', 'start': 1117.818, 'duration': 10.067}, {'end': 1132.848, 'text': 'Python Flash Server, deploying it to Amazon, AWS and so on.', 'start': 1127.885, 'duration': 4.963}, {'end': 1140.492, 'text': 'If you look at the videos of that project, in the video description, you will find a link to a code repository.', 'start': 1133.889, 'duration': 6.603}, {'end': 1145.735, 'text': "And if you go to that repository, you'll find a complete code for that project.", 'start': 1140.873, 'duration': 4.862}], 'summary': '8-part tutorial series covers web development, python flask server, and deployment to amazon aws. code repository contains complete project code.', 'duration': 27.917, 'max_score': 1117.818, 'thumbnail': 'https://coursnap.oss-ap-southeast-1.aliyuncs.com/video-capture/H4YcqULY1-Q/pics/H4YcqULY1-Q1117818.jpg'}], 'start': 876.376, 'title': 'Importance of eda and machine learning learning path', 'summary': 'Emphasizes the importance of conducting exploratory data analysis (eda) on real datasets from kaggle, including the availability of various eda notebooks and datasets on kaggle.com. it also stresses the significance of continuous learning of mathematics and statistics concepts while learning machine learning, offering a comprehensive machine learning tutorial playlist for beginners and recommending dedicating one month to machine learning and at least one project, followed by dedicating the next month to learning deep learning.', 'chapters': [{'end': 975.608, 'start': 876.376, 'title': 'Exploratory data analysis and machine learning', 'summary': 'Emphasizes the importance of conducting exploratory data analysis (eda) on real datasets from kaggle, including the availability of various eda notebooks and datasets on kaggle.com, followed by the significance of learning machine learning for individuals targeting a data scientist role.', 'duration': 99.232, 'highlights': ['Kaggle offers a wide range of EDA notebooks and datasets, enabling individuals to gain insights into the types of analyses using Pandas and Matplotlib. Kaggle provides numerous EDA notebooks and datasets for individuals to explore, offering insights into various types of analyses using tools like Pandas and Matplotlib.', 'The availability of diverse datasets on kaggle.com, such as the Indian food dataset, allows individuals to perform EDA and practice small projects to consolidate their understanding and develop solid data analysis skills. Kaggle offers diverse datasets like the Indian food dataset, allowing individuals to practice EDA and small projects to enhance their data analysis skills.', 'Learning machine learning is emphasized, especially for individuals targeting a data scientist role, as it is considered a crucial skill for this career path. The chapter stresses the importance of learning machine learning, particularly for individuals aspiring to become data scientists, as it is deemed essential for this role.']}, {'end': 1319.905, 'start': 976.149, 'title': 'Machine learning learning path', 'summary': 'Emphasizes the importance of continuous learning of mathematics and statistics concepts while learning machine learning, offers a comprehensive machine learning tutorial playlist for beginners covering regression, classification, clustering techniques, hyperparameter tuning, and an 8-part tutorial series for building an end-to-end project with a complete code repository, and recommends dedicating one month to machine learning and at least one project, followed by dedicating the next month to learning deep learning, covering artificial neural network, convolutional neural network, and recurrent neural network.', 'duration': 343.756, 'highlights': ['The chapter offers a comprehensive machine learning tutorial playlist covering regression, classification, clustering techniques, and hyperparameter tuning. The tutorial playlist covers essential machine learning techniques and concepts, providing a strong foundation for beginners.', 'The chapter provides an 8-part tutorial series for building an end-to-end project with a complete code repository. The tutorial series offers practical experience in building a complete project, including web development, model building, and deployment.', 'The chapter recommends dedicating one month to machine learning and at least one project, followed by dedicating the next month to learning deep learning, covering artificial neural network, convolutional neural network, and recurrent neural network. The recommended learning path for machine learning and deep learning provides clear guidance for beginners, emphasizing the importance of practical projects and a systematic approach to learning.']}], 'duration': 443.529, 'thumbnail': 'https://coursnap.oss-ap-southeast-1.aliyuncs.com/video-capture/H4YcqULY1-Q/pics/H4YcqULY1-Q876376.jpg', 'highlights': ['Kaggle offers diverse datasets like the Indian food dataset, allowing individuals to practice EDA and small projects to enhance their data analysis skills.', 'The chapter provides an 8-part tutorial series for building an end-to-end project with a complete code repository.', 'The recommended learning path for machine learning and deep learning provides clear guidance for beginners, emphasizing the importance of practical projects and a systematic approach to learning.', 'The tutorial playlist covers essential machine learning techniques and concepts, providing a strong foundation for beginners.', 'The chapter stresses the importance of learning machine learning, particularly for individuals aspiring to become data scientists, as it is deemed essential for this role.']}, {'end': 1471.799, 'segs': [{'end': 1445.006, 'src': 'embed', 'start': 1347.532, 'weight': 0, 'content': [{'end': 1351.533, 'text': 'And when it comes to NoSQL, there are databases like MongoDB.', 'start': 1347.532, 'duration': 4.001}, {'end': 1359.655, 'text': 'So you need to have a good understanding of these databases, because if you are working as a data analyst or data scientist,', 'start': 1351.973, 'duration': 7.682}, {'end': 1367.477, 'text': 'your job will be to connect to those databases and pull the information that you need for doing data science.', 'start': 1359.655, 'duration': 7.822}, {'end': 1372.879, 'text': 'So if it is MySQL database, you need to have understanding on SQL queries.', 'start': 1367.878, 'duration': 5.001}, {'end': 1384.187, 'text': 'If it is NoSQL, you need to know certain NoSQL fundamentals so that you can retrieve the data that you need for the data science process.', 'start': 1373.559, 'duration': 10.628}, {'end': 1387.57, 'text': "So here is one month's schedule to learn the databases.", 'start': 1384.508, 'duration': 3.062}, {'end': 1394.555, 'text': 'The first playlist I recommend for SQL is CUDA Venkat, which is a popular playlist on YouTube.', 'start': 1387.95, 'duration': 6.605}, {'end': 1400.097, 'text': 'here you need to follow the videos till 16 or 15.', 'start': 1394.555, 'duration': 5.542}, {'end': 1408.82, 'text': 'you can follow rest of the tutorials, but the knowledge that is needed to start your data science project you will get by doing the first 16 videos.', 'start': 1400.097, 'duration': 8.723}, {'end': 1413.329, 'text': 'There is a Khan Academy SQL course as well.', 'start': 1410.788, 'duration': 2.541}, {'end': 1418.112, 'text': 'So I suggest that you do this course first and then you watch the CUDA Venkat playlist.', 'start': 1413.79, 'duration': 4.322}, {'end': 1430.778, 'text': 'This course has very good explanation of SQL concepts, relational databases, joins and queries and where clause, select clause and so on.', 'start': 1418.972, 'duration': 11.806}, {'end': 1435.741, 'text': 'You need all of these when you are doing data retrieval in your data science process.', 'start': 1431.319, 'duration': 4.422}, {'end': 1440.944, 'text': 'So follow these two resources to learn about SQL databases.', 'start': 1436.361, 'duration': 4.583}, {'end': 1445.006, 'text': 'For NoSQL, there is this Coursera course.', 'start': 1441.544, 'duration': 3.462}], 'summary': 'Understanding sql and nosql databases is essential for data analysts and scientists. recommended resources include cuda venkat youtube playlist and khan academy sql course.', 'duration': 97.474, 'max_score': 1347.532, 'thumbnail': 'https://coursnap.oss-ap-southeast-1.aliyuncs.com/video-capture/H4YcqULY1-Q/pics/H4YcqULY1-Q1347532.jpg'}], 'start': 1320.525, 'title': 'Importance of databases for data scientists', 'summary': 'Emphasizes the significance of sql and nosql for data scientists, recommending cuda venkat playlist for sql and a coursera course for nosql as specific resources for learning, enabling efficient data retrieval.', 'chapters': [{'end': 1471.799, 'start': 1320.525, 'title': 'Importance of databases for data scientists', 'summary': 'Emphasizes the importance of understanding sql and nosql databases for data scientists, suggesting specific resources for learning sql and nosql, such as cuda venkat playlist for sql and a coursera course for nosql, to efficiently connect to and retrieve data from databases.', 'duration': 151.274, 'highlights': ['Understanding SQL and NoSQL databases is crucial for data scientists, as they will likely be connecting to and pulling information from these databases for data science projects.', 'Specific resources recommended for learning SQL include the CUDA Venkat playlist on YouTube and the Khan Academy SQL course, with a focus on the first 16 videos for foundational knowledge.', 'For NoSQL, a Coursera course on MongoDB is suggested, with emphasis on the initial videos to gain an understanding of the database.', 'The chapter stresses the importance of understanding SQL queries and NoSQL fundamentals for efficient data retrieval in the data science process.']}], 'duration': 151.274, 'thumbnail': 'https://coursnap.oss-ap-southeast-1.aliyuncs.com/video-capture/H4YcqULY1-Q/pics/H4YcqULY1-Q1320525.jpg', 'highlights': ['Understanding SQL and NoSQL databases is crucial for data scientists, as they will likely be connecting to and pulling information from these databases for data science projects.', 'The chapter stresses the importance of understanding SQL queries and NoSQL fundamentals for efficient data retrieval in the data science process.', 'Specific resources recommended for learning SQL include the CUDA Venkat playlist on YouTube and the Khan Academy SQL course, with a focus on the first 16 videos for foundational knowledge.', 'For NoSQL, a Coursera course on MongoDB is suggested, with emphasis on the initial videos to gain an understanding of the database.']}, {'end': 1841.494, 'segs': [{'end': 1499.061, 'src': 'heatmap', 'start': 1472.774, 'weight': 0, 'content': [{'end': 1479.958, 'text': 'Now you want to spend your last month in your journey of learning data science in learning about BI tools.', 'start': 1472.774, 'duration': 7.184}, {'end': 1485.882, 'text': 'So the popular BI tools are Tableau, Power BI, and Qlik Sense.', 'start': 1480.719, 'duration': 5.163}, {'end': 1491.098, 'text': 'And these tools allows you to connect with your data source.', 'start': 1486.937, 'duration': 4.161}, {'end': 1493.939, 'text': 'It could be a database or CSV file, whatever.', 'start': 1491.438, 'duration': 2.501}, {'end': 1499.061, 'text': 'And you can build nice dashboards or interactive visualization.', 'start': 1494.579, 'duration': 4.482}], 'summary': 'Focus on learning tableau, power bi, and qlik sense for data visualization and connecting data sources.', 'duration': 26.287, 'max_score': 1472.774, 'thumbnail': 'https://coursnap.oss-ap-southeast-1.aliyuncs.com/video-capture/H4YcqULY1-Q/pics/H4YcqULY1-Q1472774.jpg'}, {'end': 1554.279, 'src': 'embed', 'start': 1526.431, 'weight': 1, 'content': [{'end': 1538.336, 'text': 'So the chief operating officer of that company or a sales director of that company can have a interactive mobile app and they can look at all the different visualization.', 'start': 1526.431, 'duration': 11.905}, {'end': 1548.323, 'text': "These tools are so much powerful, especially if you're targeting data analyst career, you need to have knowledge on these tools.", 'start': 1538.976, 'duration': 9.347}, {'end': 1554.279, 'text': 'Here is the curriculum from week 21 to 24 for learning BI tools.', 'start': 1549.554, 'duration': 4.725}], 'summary': 'Bi tools offer powerful visualizations for coos and sales directors. data analysts should learn these tools in weeks 21-24.', 'duration': 27.848, 'max_score': 1526.431, 'thumbnail': 'https://coursnap.oss-ap-southeast-1.aliyuncs.com/video-capture/H4YcqULY1-Q/pics/H4YcqULY1-Q1526431.jpg'}, {'end': 1638.441, 'src': 'embed', 'start': 1607.938, 'weight': 3, 'content': [{'end': 1612.601, 'text': 'You need to also learn some soft skills because there is so much things to learn.', 'start': 1607.938, 'duration': 4.663}, {'end': 1614.743, 'text': 'You must be overwhelmed.', 'start': 1613.122, 'duration': 1.621}, {'end': 1619.166, 'text': "You'll be like, dude, when am I going to learn all these things? Just too much.", 'start': 1614.783, 'duration': 4.383}, {'end': 1624.451, 'text': 'For this reason, you need to know how to learn things effectively.', 'start': 1619.847, 'duration': 4.604}, {'end': 1626.852, 'text': 'for that also, I have a video.', 'start': 1625.151, 'duration': 1.701}, {'end': 1632.297, 'text': 'so, before you start your learning process, I suggest that you watch this video first,', 'start': 1626.852, 'duration': 5.445}, {'end': 1638.441, 'text': 'because you want to spend minimum amount of time and you want to get maximum output,', 'start': 1632.297, 'duration': 6.144}], 'summary': 'To manage overwhelming learning, develop soft skills and effective learning techniques. watch a video for guidance.', 'duration': 30.503, 'max_score': 1607.938, 'thumbnail': 'https://coursnap.oss-ap-southeast-1.aliyuncs.com/video-capture/H4YcqULY1-Q/pics/H4YcqULY1-Q1607938.jpg'}, {'end': 1687.477, 'src': 'embed', 'start': 1658.415, 'weight': 4, 'content': [{'end': 1664.24, 'text': "But if you make a group let's say you are studying in a college you make a group with your college friends.", 'start': 1658.415, 'duration': 5.825}, {'end': 1669.104, 'text': 'if you are at workplace, You might help similar people who want to learn data science.', 'start': 1664.24, 'duration': 4.864}, {'end': 1670.065, 'text': 'So you make a group.', 'start': 1669.124, 'duration': 0.941}, {'end': 1675.428, 'text': "If you don't know where to get that group buddy, I have a Discord channel.", 'start': 1670.765, 'duration': 4.663}, {'end': 1681.913, 'text': 'And on that Discord server, there is a channel called, you know, like a partner finder.', 'start': 1675.448, 'duration': 6.465}, {'end': 1687.477, 'text': 'And in that channel people are posting about group studies.', 'start': 1682.533, 'duration': 4.944}], 'summary': 'Join a discord channel to find study groups for college or workplace, aiding in learning data science.', 'duration': 29.062, 'max_score': 1658.415, 'thumbnail': 'https://coursnap.oss-ap-southeast-1.aliyuncs.com/video-capture/H4YcqULY1-Q/pics/H4YcqULY1-Q1658415.jpg'}, {'end': 1810.643, 'src': 'embed', 'start': 1756.288, 'weight': 5, 'content': [{'end': 1763.255, 'text': 'if you have three ideas, post three different comments, and this giveaway is open for three days.', 'start': 1756.288, 'duration': 6.967}, {'end': 1769.421, 'text': 'so we will collect all the comments received in next three days after posting this video.', 'start': 1763.255, 'duration': 6.166}, {'end': 1783.188, 'text': 'so when the video is live premiering after that we will have three days to collect all the comments and the first three top comments will receive code basics t-shirt.', 'start': 1770.342, 'duration': 12.846}, {'end': 1789.171, 'text': 'so these are the t-shirt nicely painted t-shirts and you will receive those t-shirts as a gift.', 'start': 1783.188, 'duration': 5.983}, {'end': 1799.977, 'text': 'So just use your creativity and post an idea about how data science and deep learning and machine learning is going to change the future.', 'start': 1789.691, 'duration': 10.286}, {'end': 1802.298, 'text': 'I hope you like this video.', 'start': 1800.817, 'duration': 1.481}, {'end': 1806.441, 'text': 'Trust me, learning data science is not that hard.', 'start': 1803.119, 'duration': 3.322}, {'end': 1810.643, 'text': 'All you need is a discipline and follow this step by step roadmap.', 'start': 1806.701, 'duration': 3.942}], 'summary': 'A giveaway is open for three days, with the first three top comments receiving code basics t-shirts showcasing creativity about data science, deep learning, and machine learning.', 'duration': 54.355, 'max_score': 1756.288, 'thumbnail': 'https://coursnap.oss-ap-southeast-1.aliyuncs.com/video-capture/H4YcqULY1-Q/pics/H4YcqULY1-Q1756288.jpg'}], 'start': 1472.774, 'title': 'Learning bi tools and effective learning strategies', 'summary': 'Covers the importance of learning bi tools like tableau, power bi, and qlik sense, along with effective learning strategies and a giveaway contest for sharing ideas on machine learning and data science, with code basics t-shirts as prizes.', 'chapters': [{'end': 1607.277, 'start': 1472.774, 'title': 'Learning bi tools for data science', 'summary': 'Outlines the importance of learning popular bi tools such as tableau, power bi, and qlik sense, emphasizing their capabilities in connecting with data sources, building dashboards, and creating mobile applications, with a curriculum provided for weeks 21 to 24.', 'duration': 134.503, 'highlights': ['The chapter emphasizes the importance of learning popular BI tools like Tableau, Power BI, and Qlik Sense, highlighting their capabilities in connecting with data sources, building dashboards, and creating mobile applications. The BI tools discussed, including Tableau, Power BI, and Qlik Sense, are highlighted for their ability to connect with data sources, build dashboards, and create mobile applications without coding.', 'The chapter provides a curriculum for weeks 21 to 24, outlining the learning path for BI tools and recommending various tutorial playlists for Tableau. A curriculum is provided for weeks 21 to 24, offering guidance on learning BI tools, with specific recommendations for tutorial playlists for Tableau by Abhishek Agrawal, Bharti DAW Consultancy, and Discord Basic Sales Insights.', 'The chapter emphasizes the value of gaining skills in BI tools for aspiring data scientists and data analysts, providing a pathway to acquiring necessary skills for these career paths. The chapter stresses the significance of acquiring skills in BI tools for those targeting data analyst careers, providing a pathway to gain the necessary skills for becoming a data scientist or data analyst.']}, {'end': 1707.127, 'start': 1607.938, 'title': 'Effective learning strategies', 'summary': 'Emphasizes the importance of learning soft skills, effective learning techniques, and the benefits of group study, along with the recommendation to join a discord server for study partners.', 'duration': 99.189, 'highlights': ['The importance of learning soft skills and effective learning techniques for maximum output is stressed, with the suggestion to watch a video for guidance.', 'The benefits of group study are highlighted, emphasizing the potential for increased motivation and effectiveness compared to individual study, along with the recommendation to join a Discord server for finding study partners.', 'The availability of a Discord server with a channel dedicated to finding study partners is mentioned, providing a free resource for connecting with others for group study and pair programming.']}, {'end': 1841.494, 'start': 1707.127, 'title': 'Machine learning and data science giveaway', 'summary': 'Focuses on a giveaway contest where participants are asked to share futuristic ideas on the impact of machine learning, deep learning, and data science, with the top three comments receiving code basics t-shirts.', 'duration': 134.367, 'highlights': ['Participants are invited to share ideas on the impact of machine learning, deep learning, and data science on the future, with the top three comments receiving code basics t-shirts.', 'The giveaway is open for three days, and the first three top comments will be awarded code basics t-shirts.', 'The importance of learning data science and the encouragement to start immediately is emphasized, with a link to a step-by-step roadmap provided in the video description.']}], 'duration': 368.72, 'thumbnail': 'https://coursnap.oss-ap-southeast-1.aliyuncs.com/video-capture/H4YcqULY1-Q/pics/H4YcqULY1-Q1472774.jpg', 'highlights': ['The chapter emphasizes the importance of learning popular BI tools like Tableau, Power BI, and Qlik Sense, highlighting their capabilities in connecting with data sources, building dashboards, and creating mobile applications.', 'The chapter provides a curriculum for weeks 21 to 24, outlining the learning path for BI tools and recommending various tutorial playlists for Tableau.', 'The chapter emphasizes the value of gaining skills in BI tools for aspiring data scientists and data analysts, providing a pathway to acquiring necessary skills for these career paths.', 'The importance of learning soft skills and effective learning techniques for maximum output is stressed, with the suggestion to watch a video for guidance.', 'The benefits of group study are highlighted, emphasizing the potential for increased motivation and effectiveness compared to individual study, along with the recommendation to join a Discord server for finding study partners.', 'Participants are invited to share ideas on the impact of machine learning, deep learning, and data science on the future, with the top three comments receiving code basics t-shirts.', 'The giveaway is open for three days, and the first three top comments will be awarded code basics t-shirts.', 'The importance of learning data science and the encouragement to start immediately is emphasized, with a link to a step-by-step roadmap provided in the video description.']}], 'highlights': ['Individuals without a technical background can transition into data science, as exemplified by a physiotherapist who successfully made the switch.', 'A step-by-step approach to learning data science in six months is recommended, with a focus on using online free resources and dedicating four hours of study daily.', 'Emphasizes the importance of Excel as a basic tool for data science, highlighting the need to learn macros, formulas, filtering, VBA, pivot tables, and Vlookup.', 'Stresses the availability of free information and resources online for learning data science, emphasizing the need for a laptop, internet, and strong willpower.', 'Reiterates that data science learning is an ongoing journey and that acquiring a solid base in six months can enable individuals to start data science projects.', "Learning basic statistics through Khan Academy's course with exercises and visualization", 'Using Excel to track monthly incomes and expenses, creating visualizations and charts', 'Dedicating four hours daily for two weeks to learn Excel and statistics', 'Python is recommended for data science due to its versatility and rich libraries, making it easy to learn.', 'A tutorial playlist of 16 videos is suggested for learning Python without prior programming knowledge.', 'The importance of practicing exercises to consolidate learning is highlighted, cautioning against directly checking solutions.', 'The tutorial playlist is designed without using any jargon, making it suitable for beginners.', 'Data scientists spend 70% of their time on data cleaning and exploration, emphasizing the importance of learning NumPy, pandas, and visualization libraries.', 'Pandas tutorials cover data frame basics, reading and writing data from CSV and Excel files, handling missing data, and performing SQL type operations, providing comprehensive knowledge for beginners.', 'Matplotlib tutorials cover various types of charts, and Seaborn series is introduced for advanced visualization, demonstrating a well-structured learning path for data visualization.', 'NumPy is ideal for storing huge arrays, implemented in C++ and Fortran, making it super fast and more efficient than Python plain list.', 'The tutorials provided are beginner-friendly, receiving a great response from YouTube in terms of views and likes, and include Jupyter notebooks for practical learning.', 'Kaggle offers diverse datasets like the Indian food dataset, allowing individuals to practice EDA and small projects to enhance their data analysis skills.', 'The chapter provides an 8-part tutorial series for building an end-to-end project with a complete code repository.', 'The recommended learning path for machine learning and deep learning provides clear guidance for beginners, emphasizing the importance of practical projects and a systematic approach to learning.', 'The tutorial playlist covers essential machine learning techniques and concepts, providing a strong foundation for beginners.', 'The chapter stresses the importance of learning machine learning, particularly for individuals aspiring to become data scientists, as it is deemed essential for this role.', 'Understanding SQL and NoSQL databases is crucial for data scientists, as they will likely be connecting to and pulling information from these databases for data science projects.', 'The chapter stresses the importance of understanding SQL queries and NoSQL fundamentals for efficient data retrieval in the data science process.', 'Specific resources recommended for learning SQL include the CUDA Venkat playlist on YouTube and the Khan Academy SQL course, with a focus on the first 16 videos for foundational knowledge.', 'For NoSQL, a Coursera course on MongoDB is suggested, with emphasis on the initial videos to gain an understanding of the database.', 'The chapter emphasizes the importance of learning popular BI tools like Tableau, Power BI, and Qlik Sense, highlighting their capabilities in connecting with data sources, building dashboards, and creating mobile applications.', 'The chapter provides a curriculum for weeks 21 to 24, outlining the learning path for BI tools and recommending various tutorial playlists for Tableau.', 'The chapter emphasizes the value of gaining skills in BI tools for aspiring data scientists and data analysts, providing a pathway to acquiring necessary skills for these career paths.', 'The importance of learning soft skills and effective learning techniques for maximum output is stressed, with the suggestion to watch a video for guidance.', 'The benefits of group study are highlighted, emphasizing the potential for increased motivation and effectiveness compared to individual study, along with the recommendation to join a Discord server for finding study partners.', 'Participants are invited to share ideas on the impact of machine learning, deep learning, and data science on the future, with the top three comments receiving code basics t-shirts.', 'The giveaway is open for three days, and the first three top comments will be awarded code basics t-shirts.', 'The importance of learning data science and the encouragement to start immediately is emphasized, with a link to a step-by-step roadmap provided in the video description.']}