Best probability and statistics books for data science
A good data scientist must always bring his skills to perfection. The constant acquisition of new knowledge is part of growth on oneself. We've compiled a list of must-read books to build a solid foundation in data science, statistics, and probability: From Algorithms to Z-Scores – Book The Art of R Programming – Book (Not Finished) Introduction to statistical thought Think Stats – Book + Python Code 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