My Learning Resources
My favorite learning resources, mostly free and carefully chosen! 🎁
I’d recommend you give a try to the resources and find the best one to stick with — it’s up to you.
To learn the basics — the foundational concepts, then compare different resources and check if the content is any good.
Math and Statistics
- Linear Algebra — MIT 18.06
- Introduction to Probability — John Tsitsiklis
- Think Stats — Allen B. Downey
- Bayesian Methods for Hackers — Cameron Davidson-Pilon
- An Introduction to Statistical Learning (Solutions) — Essential
- The Elements of Statistical Learning (Solutions) — Extremely useful
- Advanced Machine Learning Specialization on Coursera — A deeper understanding
Practical Data Science
- Executive Data Science — Leanpub
- The Missing Semester of Your CS Education — MIT
- Algorithms, 4th Edition — Princeton
- Visualising algorithms through animation
- SQL Tutorial — W3Schools interactive training, recommend
- SQLZOO — Practice tasks and quizzes to boost learning
- Learn x in y minutes (X=Python)
- Automate the Boring Stuff with Python
- Python for Data Analysis
- Python Data Science Handbook
- R for Data Science
- Deep Learning book
- The fastai book
- Practical Deep Learning for Coders
- Dive into Deep Learning
- Deep Learning Specialization on Coursera
- Kaggle — Home for Data Science
- Towards Data Science — A Medium publication
- Class Central — Search engine and reviews site for free online courses
- Analytics Vidhya
- DataTau — The “Hacker News” of Data Science
- Google News Data Science
- Statistics — MIT (PDF)
- Probability — William Chen (PDF)
- Data Science — Datacamp (PDF)
- MySQL, PostgreSQL — Database Star (PDF)
- Git — GitHub (PDF)
- Bash — Devhints (HTML)
- Regex — RexEgg (HTML)
- Markdown — Live demo (HTML)
- HTML — Digital (HTML)
- Glossary — Terms in Data Science (HTML)
If you find the list helpful, feel free to bookmark it, which will be continuously updated!
The Russian Advanced Machine Learning Specialization on Coursera was suspended due to government sanction.
See the Coursera Blog: https://blog.coursera.org/coursera-response-to-the-humanitarian-crisis-in-ukraine/
Sorry to hear the news. Yes, the specialization homepage was removed and the course page returns 404, but the previously applied courses are still available.
If you have not applied before and prefer Coursera, try to search other courses.
Dead link: An Introduction to Statistical Learning
Hi, Steve. Thanks for your comment, the original URL to this book failed, please check the official website.