Welcome to our curated collection of resources for learning data science, statistics, machine learning, deep learning, programming, and automation.
- R for Data Science by Hadley Wickham, Mine Çetinkaya-Rundel, and Garrett Grolemund
- The Elements of Statistical Learning: Data Mining, Inference, and Prediction by Trevor Hastie, Robert Tibshirani, and Jerome Friedman
- Introduction to Probability by Joseph K. Blitzstein and Jessica Hwang
- Think Stats: Exploratory Data Analysis in Python by Allen B. Downey
- Deep Learning with Python by François Chollet
- Machine Learning Mastery Books by Jason Brownlee, PhD
- Automate the Boring Stuff with Python by Al Sweigart
- Learn X in Y Minutes by Adam Bard
- UC Irvine Machine Learning Repository
- New York Academy of Medicine Data Sets
- data.world Data Sets
- National Cancer Institute
A special thank you to Rose Dasgupta, PhD, MPH, MHI, MS (they/them/he/him/ze/zir) for compiling these resources.