Modern Applied Statistics with S (Statistics and Computing)

Bayesian Core: A Practical Approach to Computational Bayesian Statistics (Springer Texts in Statistics)

The Elements of Statistical Learning: Data Mining, Inference, and Prediction, Second Edition (Springer Series in Statistics)

An Introduction to Statistical Learning: with Applications in R (Springer Texts in Statistics)

R Cookbook: Proven Recipes for Data Analysis, Statistics, and Graphics (O'Reilly Cookbooks)

Python for Data Analysis: Data Wrangling with Pandas, NumPy, and IPython

Software for Data Analysis: Programming with R (Statistics and Computing)

Introduction to Linear Regression Analysis

Python Machine Learning

Advanced R (Chapman & Hall/CRC The R Series)

S Programming (Statistics and Computing)

The Art of R Programming: A Tour of Statistical Software Design