Best probability and statistics books for data science
A good data scientist should always bring one’s skills to perfection. Constant acquisition of new knowledge is a part of growth upon oneself. we have compiled a list of must read books to build a strong foundation in data science , statistics and probabilty:
- Think Stats – Book + Python Code
- From Algorithms to Z-Scores – Book
- The Art of R Programming – Book (Not Finished)
- Introduction to statistical thought
- Basic Probability Theory
- Introduction to probability – By Dartmouth College
- Probability & Statistics Cookbook
- Introduction to Probability – Book and course by MIT
- The Elements of Statistical Learning: Data Mining, Inference, and Prediction. – Book
- An Introduction to Statistical Learning with Applications in R – Book
- Introduction to Probability and Statistics Using R – Book
- Advanced R Programming – Book
- Practical Regression and Anova using R – Book
- R practicals – Book
- The R Inferno – Book
- Probability Theory: The Logic of Science – By Jaynes
