If 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.
Chapter 1 Statistical Thinking for Programmers
Chapter 2 Descriptive Statistics
Chapter 3 Cumulative Distribution Functions
Chapter 4 Continuous Distributions
Chapter 5 Probability
Chapter 6 Operations on Distributions