12. Online Courses and Useful Websites¶

Chinese proverb

practice makes perfect.

12.1. Recommended online courses¶

Here is the list of recommended open source DS courses.

Name	Description (Level)	Link
Harvard CS 109a	Intro to Data Science (Easy)	https://harvard-iacs.github.io/2021-CS109A/
NYU DS-GA 1003	Machine Learning (Intermediate)	https://nyu-ds1003.github.io/spring2021/
UC Berkeley	Full Stack Deep Learning (Advanced)	https://fullstackdeeplearning.com/
Stanford CS 224N	Natural Language Processing with Deep Learning (Advanced)	http://web.stanford.edu/class/cs224n/
Harvard AC215	Advanced practical data science, MLOps. (Advanced)	https://harvard-iacs.github.io/2021-AC215/
Stanford CS 329S	Machine Learning Systems Design (Advanced)	https://stanford-cs329s.github.io/

Link	Description
https://pythontutor.com/	Visualize Code Execution
https://visualgo.net/en	Visualising data structures and algorithms through animation
https://jalammar.github.io/	Jay’s Visualizing machine learning concept
https://explained.ai/	Deep explanations of machine learning and related topics.

Book Name	Link
The Hitchhiker’s Guide to Python	https://docs.python-guide.org/
Python Programming And Numerical Methods	https://pythonnumericalmethods.berkeley.edu/
Python for Everybody	https://www.py4e.com/lessons
Python Data Science Handbook	https://jakevdp.github.io/PythonDataScienceHandbook/
Introduction to Machine Learning with Python	https://github.com/amueller/introduction_to_ml_with_python