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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Makers residency 4th edition

Your idea can be anything. At our last workshops, people built plant-based nutrition businesses, a way to measure planetary resilience, crochet headwear and a way to connect lonely people living in the same building. An asset manager went on to raise an additional Β£25M on their fund within nine months. The fourth workshop is a full day at KOKO with Nick Sarafa, learning to build with Claude Code. Bring the thing you keep meaning to start. We’ll bring the pizza.

β—† Fri 13 Nov 2026 β—† KOKO, London
Makers residency 4th edition
Live event
Makers residency 4th edition
Fri 13 Nov 2026

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