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 Title Think Stats: Probability and Statistics for Programmers
 Author(s) Allen B. Downey
 Publisher: O'Reilly Media; 1 edition (July 22, 2011)
 License(s): CC BYNC 4.0
 Paperback 138 pages
 eBook HTML and PDF (140 pages, 1.4 MB)
 Language: English
 ISBN10: 1449307116
 ISBN13: 9781449307110
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Book Description
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.
 Develop your understanding of probability and statistics by writing and testing code
 Run experiments to test statistical behavior, such as generating samples from several distributions
 Use simulations to understand concepts that are hard to grasp mathematically
 Learn topics not usually covered in an introductory course, such as Bayesian estimation
 Import data from almost any source using Python, rather than be limited to data that has been cleaned and formatted for statistics tools
 Use statistical inference to answer questions about realworld data
 Allen Downey is an Associate Professor of Computer Science at the Olin College of Engineering. He has taught computer science at Wellesley College, Colby College and U.C. Berkeley. He has a Ph.D. in Computer Science from U.C. Berkeley and Master's and Bachelor's degrees from MIT.
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