What Data Science Courses DON'T TEACH YOU 🀫

From the creator

πŸ”₯ Receive top data science/ AI insights in your inbox πŸ‘‰ https://thu-vu.ck.page/49c5ee08f6 πŸ‘©πŸ»β€πŸ’» My laptop and iPad for doing DS/ study πŸ‘‰ https://kit.co/thuvu/computer-ipad βš™οΈ Tech I use for making Youtube videos πŸ‘‰ https://kit.co/thuvu/my-budget-youtube-gear πŸ”Check out my other videos on Data Analyst/ Data Science πŸ‘‰ https://bit.ly/3qW9YpU What's up, everyone! In today's video, I'll talk about some of the skills that online data science/ data analytics courses often don't teach you. After a few years of being in the field, I feel like there are a lot of useful skills and techniques that are often covered so briefly or completely overlooked by the recently introduced online certificates. With this video, I hope to introduce you to some of the blind spots and missing pieces that could be helpful to you in your journey of becoming a data analyst or entry-level data scientist. Hope you enjoyed this video and thank you for watching! πŸ‘‹ ⚑️Useful resources mentioned in the video: ================================ πŸ“š An Introduction to Statistical Learning (free book & a must read) πŸ‘‰ https://www.statlearning.com/ πŸ“š Modern Statistics with R (free book) πŸ‘‰ http://www.modernstatisticswithr.com/_main.pdf πŸ“š Python for Data Analysis (free book) πŸ‘‰ https://www.programmer-books.com/wp-content/uploads/2019/04/Python-for-Data-Analysis-2nd-Edition.pdf πŸ“š Statistics and Machine Learning in Python (free book) πŸ‘‰ http://www.ru.ac.bd/stat/wp-content/uploads/sites/25/2019/03/207_05_Duchesnay_Statistics_Machine_Learning_Python_2019.pdf πŸ“Š Flowingdata (data viz blog by Nathan Yau) πŸ‘‰ https://flowingdata.com/ πŸ“Š Datavizcatalogue πŸ‘‰ https://datavizcatalogue.com/blog/ πŸ“Š Discovering Tableau Public πŸ‘‰ https://public.tableau.com/app/discover πŸ€“ Luke's video on How to use Git πŸ‘‰ https://www.youtube.com/watch?v=aw14VK9sN2s&t=345s πŸ‘©πŸ»β€πŸ’» COURSES & RESOURCES β–€β–€β–€β–€β–€β–€β–€β–€β–€β–€β–€β–€β–€β–€β–€β–€β–€β–€β–€β–€β–€β–€β–€β–€β–€β–€ πŸ“– Google Advanced Data Analytics Certificate πŸ‘‰ https://imp.i384100.net/anK9zZ πŸ“– Google Data Analytics Certificate πŸ‘‰ https://imp.i384100.net/15v9y6 πŸ“– Learn SQL Basics for Data Science Specialization πŸ‘‰ https://imp.i384100.net/AovPnJ πŸ“– Excel Skills for Business πŸ‘‰ https://coursera.pxf.io/doPaoy πŸ“– Machine Learning Specialization πŸ‘‰ https://imp.i384100.net/RyjykN πŸ“– Data Visualization with Tableau Specialization πŸ‘‰https://imp.i384100.net/n15XWR πŸ“– Deep Learning Specialization πŸ‘‰ https://imp.i384100.net/zavBA0 πŸ“– Mathematics for Machine Learning and Data Science Specialization πŸ‘‰ https://imp.i384100.net/LXK0gj πŸ“– Applied Data Science with Python πŸ‘‰ https://imp.i384100.net/gbxOqv πŸ™‹πŸ»β€β™€οΈ LET'S CONNECT! β–€β–€β–€β–€β–€β–€β–€β–€β–€β–€β–€β–€β–€β–€β–€β–€β–€β–€β–€β–€β–€β–€β–€β–€β–€β–€ πŸ€“ Join my Discord server: https://discord.gg/SK7ZC5XhcS πŸ“© Newsletter: https://thu-vu.ck.page/profile ✍ Medium: https://medium.com/@vuthihienthu.ueb As a member of the Amazon and Coursera Affiliate Programs, I earn a commission from qualifying purchases on the links above. By using the links you help support this channel at no cost for you. πŸ”‘ TIMESTAMPS ================================ 0:00 - Intro 0:30 - Bad coding practices you accidentally learned 2:44 - Data visualization design 3:42 - Missing out on cool analysis techniques 6:55 - Collaboration tools 7:41 - Code performance 8:51 - How to fill the gaps 12:22 - Thoughts & Conclusions #DataScience #Datanerd #DataAnalysis #CoffeeData #ThuVu #dataanalytics

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