10 Free Books to master Statistics for Data Science

Introduction to Statistics by OpenIntro This is a great introduction to statistics, covering everything from basic concepts like data collection and visualization to more advanced topics like hypothesis testing and regression analysis.

Think Stats by Allen B. Downey This book uses Python code examples to illustrate key statistical concepts, making it a great choice for beginners who want to learn by doing.

Introduction to Modern Statistics by OpenIntro This free online textbook provides a comprehensive introduction to statistics, with a focus on modern statistical methods.

Statistics Done Wrong by Alex Reinhart This book is a great resource for anyone who wants to learn about common mistakes in statistical analysis. It will help you avoid these mistakes and improve your understanding of statistics.

Introduction to Probability by Joseph K. Blitzstein and Jessica Hwang An introduction to probability theory, this book covers everything from basic concepts to more advanced topics like Markov chains and stochastic processes.

Mathematical Statistics with Applications by Richard J. Larsen and Morris W. Marx A more theoretical book, this is a great resource for those who want to learn the math behind statistics.

Statistical Methods for Machine Learning by Gareth James, Daniela Witten, Trevor Hastie, and Robert Tibshirani

This book is a great introduction to the statistical methods that are used in machine learning.

The Elements of Statistical Learning by Trevor Hastie, Robert Tibshirani, and Jerome Friedman Another great resource for learning about the statistical methods that are used in machine learning.

Probability and Statistics by Morris H. Degroot and Jay L. Kadane A comprehensive introduction to probability and statistics, this book covers a wide range of topics.

Data Science for Business by Foster Provost and Tom Fawcett This book is a great introduction to data science, with a focus on the business applications of statistics.