https://github.com/rebecca-vickery/data-science-learning-resources

A comprehensive list of free resources for learning data science

Data Science Learning Resources

A comprehensive list of free resources for learning data science.

Python

Courses/Tutorials

• Datacamp selected free courses.
• Dataquest free trial.
• A really good tutorial on OOP for data science.

Books

• The Hitchhiker's Guide to Python.
• Automate the Boring Stuff with Python.
• Python for Everybody.
• Python Data Science Handbook.
• Introduction to Machine Learning with Python.

Machine Learning

Courses/Tutorials

• Google's machine learning crash course.
• Scikit-learn workshop material by Andreas Mueller, core contributor to Scikit-learn.
• Applied machine Learning material from Columbia University.
• Machine learning with python github repo with numerous tutorials.
• Notes on data science & machine learning by Chris Albon.
• Machine lerning (theory) flashcards by Chris Albon.
• Introduction to Machine Learning with Scikit-learn.

Books

• Natural Language Processing with Python.
• Hands on Machine Learning with Scikit-learn and Tensorflow.
• A curated list of widely cited papers on machine learning.

Deep Learning

Courses/Tutorials

• FastAI practical deep learning for coders.

Books

• Deep Learning.

Maths & Statistics

Courses/Tutorials

Books

• Practical Statistics for Data Scientists.
• Think Stats.
• Bayesian Methods for Hackers.
• Statistics in Plain English.
• Computer Age Statistical Inference.

Data Engineering

• Machine learning system design - data engineering, Stanford lecture notes by Chip Huyen.

Data Science Libraries

• Curated list of Python libraries for data science.

Code Helpers

• Quickly find commonly used code snippets with codegrepper.

Code Practice

• Leetcode.

Misc

• Mac setup guide.