Think StatsIf you know how to program, you have the skills to turn data into knowledge using the tools of probability and statistics. This concise introduction shows you how to perform statistical analysis computationally, rather than mathematically, with programs written in Python. You'll work with a case study throughout the book to help you learn the entire data analysis process—from collecting data and generating statistics to identifying patterns and testing hypotheses. Along the way, you'll become familiar with distributions, the rules of probability, visualization, and many other tools and concepts.

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Review: Think Stats
User Review  Nancy Wu  GoodreadsWhile I'm only halfway through this book, it teaches neither statistics nor tips/tricks with Python libraries. The github source code that accompanies the book is probably more useful as a reference ... Read full review
Review: Think Stats
User Review  GoodreadsWhile I'm only halfway through this book, it teaches neither statistics nor tips/tricks with Python libraries. The github source code that accompanies the book is probably more useful as a reference ... Read full review
Contents
Chapter 1 Statistical Thinking for Programmers  1 
Chapter 2 Descriptive Statistics  11 
Chapter 3 Cumulative Distribution Functions  23 
Chapter 4 Continuous Distributions  33 
Chapter 5 Probability  47 
Chapter 6 Operations on Distributions  61 