title
Top Jobs in Data Science

description
Google Data Analytics Certificate (Roberto & Luke's Pick) 👉🏼 https://lukeb.co/GoogleCert Machine Learning by Andrew Ng (Mo's Top Pick) 👉🏼 https://lukeb.co/MLandrewNg Deep Learning Specialization (Ruchi's Top Pick) 👉🏼 https://lukeb.co/DeepLearningAndrewNg Mindshift: How to Learn (Bernard's Top Pick) 👉🏼 https://lukeb.co/LearningHowToLearn What's up, Data Nerds! I was interested to learn more about what others are doing in some of the top jobs in data science. Specifically, I talk with some of my friends about the most common roles in this field of: Data Analyst, Data Scientist, Data Engineer, Machine Learning (ML) Engineer, and Data Science Manager. They share details about what they do day-to-day in their job and also how they recommend getting these types of jobs! Roberto's Portfolio 👉🏼 https://roberto121c.github.io/Roberto_Calzadilla_Projects/ Ruchi's LinkedIn 👉🏼 https://www.linkedin.com/in/ruchi798/ Mo's LinkedIn 👉🏼 https://www.linkedin.com/in/morebaie/ Bernard's LinkedIn 👉🏼 https://www.linkedin.com/in/bernard-de-villepin/ Certificates & Courses ================================== Coursera Courses: 📜 Google Data Analytics Certificate (START HERE) 👉🏼 https://lukeb.co/GoogleCert 💿 SQL for Data Science 👉🏼 https://lukeb.co/SQLdataScience 🧾 Excel Skills for Business 👉🏼 https://lukeb.co/ExcelBusinessAnalyst 🐍 Python for Everybody 👉🏼 https://lukeb.co/PythonForEverybody 📊 Data Visualization with Tableau 👉🏼 https://lukeb.co/Tableau_UCDavis 🏴‍☠️ Data Science: Foundations using R 👉🏼 https://lukeb.co/RforDataScienceJH Coursera Plus Subscription (7-day free trial) 👉🏼 https://lukeb.co/CourseraPlus 👨🏼‍🏫 All courses 👉🏼 https://kit.co/lukebarousse/data-analytics-courses Build a Portfolio Website ================================== Create website here 👉🏼 http://hostinger.com/luke Rebate Code: "LUKE" (Save up to 91% on annual plans at checkout) My Portfolio 👉🏼 https://lukebarousse.tech/ Recommended Books ================================== 📚 All Book Recommendations 👉🏼 https://kit.co/lukebarousse/book-recommendations 📗 Data Science Must Read 👉🏼 https://geni.us/StorytellingWithData 📙 Tableau 👉🏼 https://geni.us/tableau 📘 Power BI👉🏼 https://geni.us/powerbi 📕 Python 👉🏼 https://geni.us/pythontricks Tech for Data Science ================================== 💻 Dell New XPS 13 (PC of choice) 👉🏼 https://geni.us/DellNewXPS13 💻 Dell New XPS 15 👉🏼 https://geni.us/DellNewXPS15 👨🏼‍💻 M1 Macbook Air 8GB (Mac of choice) 👉🏼 https://geni.us/M1macAir8GB 👨🏼‍💻 M1 Macbook Pro 8GB 👉🏼 https://geni.us/M1macPro8GB 🔌 Must-have Mac dock 👉🏼 https://geni.us/CalDigitTS3 🖥 M1 Multiple monitor adapter 👉🏼 https://geni.us/DisplayLinkAdapter ⌨️ Mac Keyboard 👉🏼 https://geni.us/MacMagicKeyboard 🖱 Mac Mouse 👉🏼 https://geni.us/MacMagicMouse 💾 Small (1TB) External HD 👉🏼 https://geni.us/WDelements1TB 💾 Large (14TB) External HD 👉🏼 https://geni.us/WDelements14TB 🏢 Standing Desk 👉🏼 https://geni.us/StandingDeskFezibo 📸 Camera of Choice 👉🏼 https://geni.us/SonyA6600body *For computers, I recommend checking the manufacturer's website (i.e., dell.com) for deals/rebates* Social Media / Contact Me ====================== 🙋🏼‍♂️Newsletter: https://www.lukebarousse.com/ 🌄 Instagram: https://www.instagram.com/lukebarousse/ ⏰ TikTok: https://www.tiktok.com/@lukebarousse 📘 Facebook: https://www.facebook.com/datavizbyluke 📥 Business Inquiries: luke@lukebarousse.com As a member of the Amazon, Coursera, Hostinger, and Data Camp Affiliate Programs, I earn a commission from qualifying purchases on the links above. It costs you nothing but helps me with content creation. 00:00 Intro 00:50 About the Interviewees 02:04 Data Engineer - Roberto 03:47 Data Analyst - Luke 04:48 ML Engineer - Mo 06:42 Data Scientist - Ruchi 08:03 Data Science Manager - Bernard 09:09 Salary 09:36 "Other" Job Titles 09:55 Education Required 10:21 Courses & Life-long learners 11:50 Project-based Learning 12:30 Portfolios 13:15 Social Media / Community 14:59 Closing #datanerd #dataanalyst #datascience

detail
{'title': 'Top Jobs in Data Science', 'heatmap': [{'end': 792.162, 'start': 756.288, 'weight': 0.794}], 'summary': 'Explores the emergence of data science jobs, including data engineer, data scientist, machine learning engineer, and data science manager, highlights the milestones of data science projects, and emphasizes continuous learning and community involvement in data science roles.', 'chapters': [{'end': 131.254, 'segs': [{'end': 90.12, 'src': 'embed', 'start': 36.296, 'weight': 0, 'content': [{'end': 40.638, 'text': 'I want to give a special shout out to Coursera for putting me in touch with a lot of these interviewers.', 'start': 36.296, 'duration': 4.342}, {'end': 47.821, 'text': 'But as a disclaimer, Coursera is not sponsoring this video, nor do they have any other influence in the making of this video.', 'start': 41.278, 'duration': 6.543}, {'end': 49.841, 'text': "So with that, let's meet the interviewees.", 'start': 48.121, 'duration': 1.72}, {'end': 53.782, 'text': 'First up, providing the data engineer perspective, is Roberto.', 'start': 50.322, 'duration': 3.46}, {'end': 59.964, 'text': 'He works as a database architect in the education industry and is a recent chemical engineering major.', 'start': 54.423, 'duration': 5.541}, {'end': 64.584, 'text': 'The primary tools he uses for his job are SQL, Python, and even some cloud services.', 'start': 60.324, 'duration': 4.26}, {'end': 67.086, 'text': 'Providing the data scientist perspective is Ruchi.', 'start': 64.825, 'duration': 2.261}, {'end': 70.026, 'text': 'She works as a data scientist in the technology industry.', 'start': 67.466, 'duration': 2.56}, {'end': 76.009, 'text': "She has an undergraduate degree in computer engineering and is currently working on her master's in information systems management.", 'start': 70.206, 'duration': 5.803}, {'end': 79.832, 'text': "Primary tool of use is Python, and she's also learning R.", 'start': 76.109, 'duration': 3.723}, {'end': 82.594, 'text': 'Providing the machine learning engineer perspective is Mo.', 'start': 79.832, 'duration': 2.762}, {'end': 86.317, 'text': 'He works as a deep learning specialist in the IT and services industry.', 'start': 83.034, 'duration': 3.283}, {'end': 90.12, 'text': 'He has dual degrees in both mathematics and computer science.', 'start': 86.737, 'duration': 3.383}], 'summary': 'Interviewees include: roberto, data engineer; ruchi, data scientist; mo, machine learning engineer. skills and background provided.', 'duration': 53.824, 'max_score': 36.296, 'thumbnail': 'https://coursnap.oss-ap-southeast-1.aliyuncs.com/video-capture/VrdnBxx8BBI/pics/VrdnBxx8BBI36296.jpg'}, {'end': 143.827, 'src': 'embed', 'start': 110.935, 'weight': 1, 'content': [{'end': 114.258, 'text': 'He is a data strategist that works in the professional services industry.', 'start': 110.935, 'duration': 3.323}, {'end': 118.802, 'text': "He has both bachelor's and master's degree in both project management and marketing.", 'start': 114.318, 'duration': 4.484}, {'end': 124.046, 'text': "In addition to one of the most impressive things I've seen of 200 plus courses on Coursera completed.", 'start': 118.982, 'duration': 5.064}, {'end': 131.254, 'text': "all right now let's get into what these interviewees do on a day-to-day basis for their jobs and to understand that,", 'start': 124.466, 'duration': 6.788}, {'end': 135.56, 'text': 'we have to understand what a typical data science project entails.', 'start': 131.254, 'duration': 4.306}, {'end': 143.827, 'text': 'the two major milestones when starting this project revolve around first collecting the data And then, once you have that data,', 'start': 135.56, 'duration': 8.267}], 'summary': "Data strategist with bachelor's and master's degree, completed 200+ coursera courses, focuses on data science projects.", 'duration': 32.892, 'max_score': 110.935, 'thumbnail': 'https://coursnap.oss-ap-southeast-1.aliyuncs.com/video-capture/VrdnBxx8BBI/pics/VrdnBxx8BBI110935.jpg'}], 'start': 0.189, 'title': 'Emerging data science jobs', 'summary': "Discusses the emergence of four rapidly growing jobs in data science: data engineer, data scientist, machine learning engineer, and data science manager, each requiring specific skills and tools, highlighted by professionals' unique perspectives.", 'chapters': [{'end': 131.254, 'start': 0.189, 'title': 'Emerging jobs in data science', 'summary': "Reveals the emergence of four rapidly growing jobs in the field of data science: data engineer, data scientist, machine learning engineer, and data science manager, each requiring specific skills and tools, highlighted by professionals' unique perspectives.", 'duration': 131.065, 'highlights': ['Interviewees provide insights into the roles of data engineer, data scientist, machine learning engineer, and data science manager, showcasing the diverse skill sets required for each job.', 'The data engineer perspective is presented by Roberto, whose primary tools include SQL, Python, and cloud services, reflecting the increasing demand for these skills in the industry.', 'Ruchi, a data scientist, emphasizes the importance of Python and R in her role, indicating the need for expertise in these programming languages for data science positions.', 'Mo, a machine learning engineer, highlights the significance of Python and TensorFlow in his work, underlining the growing importance of machine learning skills in the IT and services industry.', 'Bernard, a data science manager, showcases his extensive educational background and completion of over 200 courses on Coursera, demonstrating the commitment to continuous learning and professional development in the field of data science.']}], 'duration': 131.065, 'thumbnail': 'https://coursnap.oss-ap-southeast-1.aliyuncs.com/video-capture/VrdnBxx8BBI/pics/VrdnBxx8BBI189.jpg', 'highlights': ['Interviewees provide insights into the roles of data engineer, data scientist, machine learning engineer, and data science manager, showcasing the diverse skill sets required for each job.', 'Bernard, a data science manager, showcases his extensive educational background and completion of over 200 courses on Coursera, demonstrating the commitment to continuous learning and professional development in the field of data science.', 'Mo, a machine learning engineer, highlights the significance of Python and TensorFlow in his work, underlining the growing importance of machine learning skills in the IT and services industry.', 'Ruchi, a data scientist, emphasizes the importance of Python and R in her role, indicating the need for expertise in these programming languages for data science positions.', 'The data engineer perspective is presented by Roberto, whose primary tools include SQL, Python, and cloud services, reflecting the increasing demand for these skills in the industry.']}, {'end': 448.13, 'segs': [{'end': 180.755, 'src': 'embed', 'start': 151.429, 'weight': 0, 'content': [{'end': 157.07, 'text': "This is where a data engineer's role is so crucial for a data science project.", 'start': 151.429, 'duration': 5.641}, {'end': 159.45, 'text': "So let's hear Roberto's perspective on this.", 'start': 157.47, 'duration': 1.98}, {'end': 167.232, 'text': 'What I do in my job basically is EPL processes, which stands for extraction, transform, and load.', 'start': 160.211, 'duration': 7.021}, {'end': 176.074, 'text': 'The extraction I mostly use, as I said before, Python to do web scrapping.', 'start': 168.032, 'duration': 8.042}, {'end': 180.755, 'text': 'Then the transformation and the load, I do it mostly in SQL.', 'start': 176.254, 'duration': 4.501}], 'summary': 'Roberto uses python for web scraping and sql for etl processes.', 'duration': 29.326, 'max_score': 151.429, 'thumbnail': 'https://coursnap.oss-ap-southeast-1.aliyuncs.com/video-capture/VrdnBxx8BBI/pics/VrdnBxx8BBI151429.jpg'}, {'end': 272.195, 'src': 'embed', 'start': 247.103, 'weight': 2, 'content': [{'end': 254.266, 'text': 'As a data analyst in my day job, I would typically be given a problem and then access to some data in order to help solve that problem.', 'start': 247.103, 'duration': 7.163}, {'end': 261.069, 'text': 'My job is to use tools such as Excel and SQL to understand and dive deeper into the data itself.', 'start': 254.426, 'duration': 6.643}, {'end': 263.851, 'text': 'Sometimes I even would go as far as to using Python.', 'start': 261.55, 'duration': 2.301}, {'end': 272.195, 'text': 'From there, the other half of my time would really be around communicating what insights I found via meetings and PowerPoints and Word docs.', 'start': 263.991, 'duration': 8.204}], 'summary': 'Data analyst uses excel, sql, and python to solve problems and communicate insights.', 'duration': 25.092, 'max_score': 247.103, 'thumbnail': 'https://coursnap.oss-ap-southeast-1.aliyuncs.com/video-capture/VrdnBxx8BBI/pics/VrdnBxx8BBI247103.jpg'}, {'end': 400.917, 'src': 'embed', 'start': 378.419, 'weight': 1, 'content': [{'end': 388.267, 'text': 'machine learning engineers are using a language like Python to build and test models in order to answer that question of what will happen and what action should we take?', 'start': 378.419, 'duration': 9.848}, {'end': 394.392, 'text': 'Sometimes you can even find data scientists doing this type of job, But when it gets to implementing models,', 'start': 388.547, 'duration': 5.845}, {'end': 400.917, 'text': "which I've tried myself as well and failed miserably it turns out that it's really difficult and you need a professional,", 'start': 394.392, 'duration': 6.525}], 'summary': 'Ml engineers use python to build models for predicting outcomes and actions.', 'duration': 22.498, 'max_score': 378.419, 'thumbnail': 'https://coursnap.oss-ap-southeast-1.aliyuncs.com/video-capture/VrdnBxx8BBI/pics/VrdnBxx8BBI378419.jpg'}], 'start': 131.254, 'title': 'Data science project overview', 'summary': "Introduces the typical milestones of a data science project, emphasizing the crucial role of data engineers in collecting and transforming data, followed by data analysts' task of analyzing and communicating insights, and finally delving into predictive analytics with machine learning engineers and data scientists.", 'chapters': [{'end': 448.13, 'start': 131.254, 'title': 'Data science project overview', 'summary': "Introduces the typical milestones of a data science project, emphasizing the crucial role of data engineers in collecting and transforming data, followed by data analysts' task of analyzing and communicating insights, and finally delving into predictive analytics with machine learning engineers and data scientists.", 'duration': 316.876, 'highlights': ['Data engineers play a crucial role in collecting and transforming data for data science projects, using ETL processes like extraction, transformation, and load, with Python for web scraping and SQL for transformation and loading. Data engineers utilize ETL processes, such as extraction, transformation, and load, using Python for web scraping and SQL for transformation and loading, to create data used by the data science team.', 'Data analysts use tools like Excel, SQL, and sometimes Python to analyze data, create dashboards in Power BI or Tableau, and communicate insights via meetings and presentations. Data analysts employ tools like Excel, SQL, and sometimes Python for data analysis, dashboard creation in Power BI or Tableau, and communicating insights through meetings and presentations.', 'Machine learning engineers and data scientists are involved in predictive analytics, utilizing Python to build and implement machine learning models for predicting and prescribing actions based on data. Machine learning engineers and data scientists leverage Python to build and implement machine learning models for predictive and prescriptive analytics, forecasting future events and actions.']}], 'duration': 316.876, 'thumbnail': 'https://coursnap.oss-ap-southeast-1.aliyuncs.com/video-capture/VrdnBxx8BBI/pics/VrdnBxx8BBI131254.jpg', 'highlights': ['Data engineers play a crucial role in collecting and transforming data for data science projects, using ETL processes like extraction, transformation, and load, with Python for web scraping and SQL for transformation and loading.', 'Machine learning engineers and data scientists are involved in predictive analytics, utilizing Python to build and implement machine learning models for predicting and prescribing actions based on data.', 'Data analysts use tools like Excel, SQL, and sometimes Python to analyze data, create dashboards in Power BI or Tableau, and communicate insights via meetings and presentations.']}, {'end': 929.231, 'segs': [{'end': 533.581, 'src': 'embed', 'start': 503.177, 'weight': 0, 'content': [{'end': 507.84, 'text': "So I'm going to let this guy decide and create the stuff because it would be much better than me.", 'start': 503.177, 'duration': 4.663}, {'end': 509.901, 'text': "They're much smarter in this sense.", 'start': 508.34, 'duration': 1.561}, {'end': 512.243, 'text': "And I would just take care of where I'm good at.", 'start': 510.602, 'duration': 1.641}, {'end': 513.663, 'text': 'So for larger companies,', 'start': 512.403, 'duration': 1.26}, {'end': 520.207, 'text': 'you need someone like a data science manager to ensure everybody on the data science team is working towards that common goal.', 'start': 513.663, 'duration': 6.544}, {'end': 525.531, 'text': 'This is where I think a data manager would come.', 'start': 520.347, 'duration': 5.184}, {'end': 533.581, 'text': 'these guys will just have a look at the company and say okay, we need to build something, we need to be.', 'start': 527.253, 'duration': 6.328}], 'summary': 'Data science manager needed for larger companies to drive team collaboration and common goal.', 'duration': 30.404, 'max_score': 503.177, 'thumbnail': 'https://coursnap.oss-ap-southeast-1.aliyuncs.com/video-capture/VrdnBxx8BBI/pics/VrdnBxx8BBI503177.jpg'}, {'end': 644.481, 'src': 'embed', 'start': 602.353, 'weight': 1, 'content': [{'end': 605.256, 'text': "As shown by these interviewees, that's not the case.", 'start': 602.353, 'duration': 2.903}, {'end': 611.602, 'text': 'I have found, however, that those with a STEM degree typically have an easier transition into this field.', 'start': 605.616, 'duration': 5.986}, {'end': 614.786, 'text': 'But what about those that have a non-STEM degree?', 'start': 612.063, 'duration': 2.723}, {'end': 621.412, 'text': "I've also found success from these people as well, after they've beefed up their knowledge on things like math and stats.", 'start': 615.026, 'duration': 6.386}, {'end': 623.634, 'text': 'For those without a degree at all.', 'start': 621.652, 'duration': 1.982}, {'end': 625.997, 'text': "I'm a little pessimistic about job opportunities,", 'start': 623.634, 'duration': 2.363}, {'end': 634.099, 'text': 'But with large companies such as Google offering to accept things like the Google Data Analytics certificate in place of a four-year degree,', 'start': 626.537, 'duration': 7.562}, {'end': 637.7, 'text': 'I feel that change is coming towards this in the future.', 'start': 634.099, 'duration': 3.601}, {'end': 644.481, 'text': "Now that we understand what these jobs do and what they entail, let's look at what these interviewees did in order to land their jobs.", 'start': 638, 'duration': 6.481}], 'summary': 'Stem degree holders have an easier transition into analytics field, non-stem degree holders can succeed after boosting math and stats knowledge, and companies like google are accepting alternative certifications.', 'duration': 42.128, 'max_score': 602.353, 'thumbnail': 'https://coursnap.oss-ap-southeast-1.aliyuncs.com/video-capture/VrdnBxx8BBI/pics/VrdnBxx8BBI602353.jpg'}, {'end': 693.021, 'src': 'embed', 'start': 667.301, 'weight': 5, 'content': [{'end': 674.964, 'text': "And the most common theme that I've found across all interviewees is this passionate desire for continuing education.", 'start': 667.301, 'duration': 7.663}, {'end': 681.611, 'text': "I'm a long life learner and I believe in that Learning should be continuous.", 'start': 675.584, 'duration': 6.027}, {'end': 691.439, 'text': "You can't just learn or take courses or learn for two or three years and then, when you land a job and start working in any industry,", 'start': 681.691, 'duration': 9.748}, {'end': 693.021, 'text': 'you should stop learning, no.', 'start': 691.439, 'duration': 1.582}], 'summary': 'Passionate desire for continuing education among interviewees.', 'duration': 25.72, 'max_score': 667.301, 'thumbnail': 'https://coursnap.oss-ap-southeast-1.aliyuncs.com/video-capture/VrdnBxx8BBI/pics/VrdnBxx8BBI667301.jpg'}, {'end': 780.276, 'src': 'embed', 'start': 756.288, 'weight': 3, 'content': [{'end': 764.693, 'text': 'I started doing the Google Data Analytics certification and something that it says that I think is really interesting or important.', 'start': 756.288, 'duration': 8.405}, {'end': 768.469, 'text': 'is that you should make a portfolio.', 'start': 765.827, 'duration': 2.642}, {'end': 770.49, 'text': "And that's what Roberto then did.", 'start': 768.629, 'duration': 1.861}, {'end': 775.834, 'text': 'He gathered all those different projects he made, put them into a portfolio website, and launched it.', 'start': 770.75, 'duration': 5.084}, {'end': 777.635, 'text': 'And what happened next was pretty awesome.', 'start': 775.914, 'duration': 1.721}, {'end': 780.276, 'text': 'It took me like two weeks to find a job.', 'start': 777.975, 'duration': 2.301}], 'summary': 'Roberto created a portfolio website and found a job in two weeks after completing google data analytics certification.', 'duration': 23.988, 'max_score': 756.288, 'thumbnail': 'https://coursnap.oss-ap-southeast-1.aliyuncs.com/video-capture/VrdnBxx8BBI/pics/VrdnBxx8BBI756288.jpg'}, {'end': 792.162, 'src': 'heatmap', 'start': 756.288, 'weight': 0.794, 'content': [{'end': 764.693, 'text': 'I started doing the Google Data Analytics certification and something that it says that I think is really interesting or important.', 'start': 756.288, 'duration': 8.405}, {'end': 768.469, 'text': 'is that you should make a portfolio.', 'start': 765.827, 'duration': 2.642}, {'end': 770.49, 'text': "And that's what Roberto then did.", 'start': 768.629, 'duration': 1.861}, {'end': 775.834, 'text': 'He gathered all those different projects he made, put them into a portfolio website, and launched it.', 'start': 770.75, 'duration': 5.084}, {'end': 777.635, 'text': 'And what happened next was pretty awesome.', 'start': 775.914, 'duration': 1.721}, {'end': 780.276, 'text': 'It took me like two weeks to find a job.', 'start': 777.975, 'duration': 2.301}, {'end': 792.162, 'text': 'And it was really interesting because I got more calls and offers in one week after I put that portfolio in my resume than the whole four months before that.', 'start': 781.177, 'duration': 10.985}], 'summary': 'Creating a portfolio helped roberto get a job in 2 weeks, receiving more calls and offers in one week than in the previous 4 months.', 'duration': 35.874, 'max_score': 756.288, 'thumbnail': 'https://coursnap.oss-ap-southeast-1.aliyuncs.com/video-capture/VrdnBxx8BBI/pics/VrdnBxx8BBI756288.jpg'}, {'end': 835.482, 'src': 'embed', 'start': 808.925, 'weight': 4, 'content': [{'end': 818.351, 'text': 'Yeah, I think it was because of my active involvement with the community and just contributions that are relevant to the domain.', 'start': 808.925, 'duration': 9.426}, {'end': 826.336, 'text': "It's better to have people you form relations with on LinkedIn or Twitter, where you have a community,", 'start': 818.671, 'duration': 7.665}, {'end': 835.482, 'text': "rather than just applying to jobs that are available, because most of the times you might get an opportunity that you didn't know you would.", 'start': 826.336, 'duration': 9.146}], 'summary': 'Active community involvement leads to unexpected job opportunities.', 'duration': 26.557, 'max_score': 808.925, 'thumbnail': 'https://coursnap.oss-ap-southeast-1.aliyuncs.com/video-capture/VrdnBxx8BBI/pics/VrdnBxx8BBI808925.jpg'}, {'end': 923.789, 'src': 'embed', 'start': 900.12, 'weight': 6, 'content': [{'end': 908.283, 'text': "So overall, what I hope you capture from this video is that it's not about having a specific certificate or a certain degree.", 'start': 900.12, 'duration': 8.163}, {'end': 914.145, 'text': "Instead, it's about becoming active in the community and sharing your passions and learnings with others,", 'start': 908.423, 'duration': 5.722}, {'end': 917.707, 'text': 'whether that be a portfolio or via a social media outlet.', 'start': 914.145, 'duration': 3.562}, {'end': 923.789, 'text': 'This has led to all the different interviewees, including myself, landing their dream jobs in data science.', 'start': 917.847, 'duration': 5.942}], 'summary': 'Success in data science is about community engagement, not just certifications or degrees, leading to dream job placements for interviewees.', 'duration': 23.669, 'max_score': 900.12, 'thumbnail': 'https://coursnap.oss-ap-southeast-1.aliyuncs.com/video-capture/VrdnBxx8BBI/pics/VrdnBxx8BBI900120.jpg'}], 'start': 448.49, 'title': 'Data science roles and continuous learning', 'summary': 'Explains data science roles, skills required, and job opportunities, alongside emphasizing continuous learning, project-based learning, and portfolio creation, with examples of successful job landing and community involvement.', 'chapters': [{'end': 666.961, 'start': 448.49, 'title': 'Data science roles and opportunities', 'summary': 'Explains the various roles in data science teams, the responsibilities and skills required, the impact of different educational backgrounds, and the potential for job opportunities and certifications in the field.', 'duration': 218.471, 'highlights': ['Data science team roles and responsibilities The chapter outlines the different roles within data science teams, from data engineers and data analysts in smaller teams to more defined roles and advanced analytics in larger teams, including the role of a data science manager in ensuring a common goal.', 'Educational backgrounds and job opportunities The chapter discusses the impact of different educational backgrounds on entering the data science field, emphasizing that a STEM degree may ease the transition, but success is also achievable for non-STEM degree holders after enhancing their knowledge in areas like math and stats.', 'Certifications and job prospects The chapter highlights the potential for job opportunities for individuals without a traditional degree, citing examples of companies like Google accepting alternative certifications such as the Google Data Analytics certificate, and showcasing the value of online courses like those on Coursera in transitioning into the data science field.']}, {'end': 929.231, 'start': 667.301, 'title': 'Continuous learning for landing dream jobs', 'summary': 'Emphasizes the importance of continuous learning and active involvement in the community, showcasing how project-based learning, portfolio creation, and social media activity led to landing dream jobs in data science, with examples such as getting job offers after portfolio launch and being selected as an ambassador for z by hp for data science.', 'duration': 261.93, 'highlights': ['Project-based learning and portfolio creation led to landing dream jobs in data science, with examples such as getting job offers after portfolio launch and being selected as an ambassador for Z by HP for data science.', 'Active involvement in the community, such as being highly active on Kaggle and LinkedIn, and showcasing work through social media, resulted in opportunities and job offers without the need for a resume or educational background.', 'Continuous learning and passionate desire for self-development were common themes among the interviewees, emphasizing the need for ongoing education and improvement in skills.', 'Social media activity, community involvement, and sharing passions and learnings with others were highlighted as crucial factors in landing dream jobs in data science, surpassing the significance of specific certificates or degrees.']}], 'duration': 480.741, 'thumbnail': 'https://coursnap.oss-ap-southeast-1.aliyuncs.com/video-capture/VrdnBxx8BBI/pics/VrdnBxx8BBI448490.jpg', 'highlights': ['Data science team roles and responsibilities, including the role of a data science manager in ensuring a common goal.', "Educational backgrounds' impact on entering the data science field, emphasizing that a STEM degree may ease the transition.", 'Potential job opportunities for individuals without a traditional degree, citing examples of companies like Google accepting alternative certifications.', 'Project-based learning and portfolio creation led to landing dream jobs in data science, with examples such as getting job offers after portfolio launch.', 'Active involvement in the community, such as being highly active on Kaggle and LinkedIn, resulted in opportunities and job offers.', 'Continuous learning and passionate desire for self-development were common themes among the interviewees, emphasizing the need for ongoing education and improvement in skills.', 'Social media activity, community involvement, and sharing passions and learnings with others were highlighted as crucial factors in landing dream jobs in data science.']}], 'highlights': ['Bernard, a data science manager, completed over 200 courses on Coursera, demonstrating commitment to continuous learning.', 'Mo, a machine learning engineer, emphasizes the significance of Python and TensorFlow in his work.', 'Ruchi, a data scientist, emphasizes the importance of Python and R in her role.', 'Roberto, a data engineer, uses SQL, Python, and cloud services as primary tools.', 'Data engineers play a crucial role in collecting and transforming data for data science projects, using ETL processes like extraction, transformation, and load, with Python for web scraping and SQL for transformation and loading.', 'Machine learning engineers and data scientists are involved in predictive analytics, utilizing Python to build and implement machine learning models for predicting and prescribing actions based on data.', 'Data analysts use tools like Excel, SQL, and sometimes Python to analyze data, create dashboards in Power BI or Tableau, and communicate insights via meetings and presentations.', "Educational backgrounds' impact on entering the data science field, emphasizing that a STEM degree may ease the transition.", 'Potential job opportunities for individuals without a traditional degree, citing examples of companies like Google accepting alternative certifications.', 'Project-based learning and portfolio creation led to landing dream jobs in data science, with examples such as getting job offers after portfolio launch.', 'Active involvement in the community, such as being highly active on Kaggle and LinkedIn, resulted in opportunities and job offers.', 'Continuous learning and passionate desire for self-development were common themes among the interviewees, emphasizing the need for ongoing education and improvement in skills.', 'Social media activity, community involvement, and sharing passions and learnings with others were highlighted as crucial factors in landing dream jobs in data science.']}