๐Ÿ‘ฉ๐Ÿปโ€๐Ÿ’ป How I Self-Study Anything (as a Data Scientist)

From the creator

The first 1,000 people to use the link will get a 1 month free trial of Skillshare: https://skl.sh/thuvudataanalytics08221 ๐Ÿ”ฅ Receive top data science/ AI insights in your inbox ๐Ÿ‘‰ https://thu-vu.ck.page/49c5ee08f6 Course recommendations (Coursera): ๐Ÿค– Machine Learning Specialization by Andrew Ng ๐Ÿ‘‰ https://imp.i384100.net/RyjykN ๐Ÿ™‡โ€โ™€๏ธ Graph Analytics for Big Data(Coursera) ๐Ÿ‘‰ https://imp.i384100.net/oeWP1O ๐Ÿ•ธ Learn web scraping with Python ๐Ÿ‘‰ https://imp.i384100.net/e4ZdXX ๐Ÿงฎ Mathematics for Machine Learning Specialization ๐Ÿ‘‰ https://imp.i384100.net/BX91NB ๐Ÿงฎ Data Science Math Skills ๐Ÿ‘‰ https://imp.i384100.net/oevBxo โš™๏ธ Deep Learning Specialization ๐Ÿ‘‰ https://imp.i384100.net/zavBA0 Hey data nerds ๐Ÿ‘‹, you might have been finding yourself procrastinating, getting distracted from learning data science and not wanting to put in the time to learn difficult things. In this video I'm sharing some tips for self-learning data science that I have used in the past few years, transitioning from Economics to Data Science. I realized everything started with the right mindset for learning. Additionally, in this video I also talk about the 5-step learning framework that I use for learning almost anything, and also some bonus tips to help you learn more effectively. I wish you a lot of success with learning! Thank you for watching and have a great day! ๐Ÿค— ๐Ÿ”‘ TIMESTAMPS ================================ 0:00 - Intro 0:52 - Adopting the right mindset 4:10 - My 5-step learning framework 4:34 - #0 The "Why" 5:27 - #1 Finding materials 5:59 - Skillshare (SPONSOR) 7:03 - #1 Finding materials (continued) 8:04 - #2 Absorbing 9:33 - #3 Retaining/ Documenting 10:20 - #4 Application & Projects 11:37 - #5 Show your work 13:05 - Bonus tip & Conclusions ๐Ÿ‘ฉ๐Ÿปโ€๐Ÿ’ป COURSES & RESOURCES โ–€โ–€โ–€โ–€โ–€โ–€โ–€โ–€โ–€โ–€โ–€โ–€โ–€โ–€โ–€โ–€โ–€โ–€โ–€โ–€โ–€โ–€โ–€โ–€โ–€โ–€ ๐Ÿ“– Google Advanced Data Analytics Certificate ๐Ÿ‘‰ https://imp.i384100.net/anK9zZ ๐Ÿ“– Google Data Analytics Certificate ๐Ÿ‘‰ https://imp.i384100.net/15v9y6 ๐Ÿ“– Learn SQL Basics for Data Science Specialization ๐Ÿ‘‰ https://imp.i384100.net/AovPnJ ๐Ÿ“– Excel Skills for Business ๐Ÿ‘‰ https://coursera.pxf.io/doPaoy ๐Ÿ“– Machine Learning Specialization ๐Ÿ‘‰ https://imp.i384100.net/RyjykN ๐Ÿ“– Data Visualization with Tableau Specialization ๐Ÿ‘‰https://imp.i384100.net/n15XWR ๐Ÿ“– Deep Learning Specialization ๐Ÿ‘‰ https://imp.i384100.net/zavBA0 ๐Ÿ“– Mathematics for Machine Learning and Data Science Specialization ๐Ÿ‘‰ https://imp.i384100.net/LXK0gj ๐Ÿ“– Applied Data Science with Python ๐Ÿ‘‰ https://imp.i384100.net/gbxOqv ๐Ÿ™‹๐Ÿปโ€โ™€๏ธ LET'S CONNECT! โ–€โ–€โ–€โ–€โ–€โ–€โ–€โ–€โ–€โ–€โ–€โ–€โ–€โ–€โ–€โ–€โ–€โ–€โ–€โ–€โ–€โ–€โ–€โ–€โ–€โ–€ ๐Ÿค“ Join my Discord server: https://discord.gg/SK7ZC5XhcS ๐Ÿ“ฉ Newsletter: https://thu-vu.ck.page/profile โœ Medium: https://medium.com/@vuthihienthu.ueb ๐Ÿ”— All links: https://linktr.ee/thuvuanalytics 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. #datascience #Datanerd #DataAnalysis #ThuVu #dataanalytics

Stop watching ยท start building
Matched to Analyse Business Data

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 ยฃ25M 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. Weโ€™ll bring the pizza.

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

More like this

Running one yourself?

List your AI event,
wherever it is.

A meetup, a workshop, a hackathon, a conference. Any city, or online. Tell us about it and it lands in front of people already learning this stuff.