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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.
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Probability and Statistics for ProgrammersFrom the Author:
I wrote this book for a class I developed at Olin College. The goal of the class is to teach students to use statistical tools to explore real datasets and answer interesting questions. The webpage for the class is here: sites.google.com/site/thinkstats2011a --- it includes my lecture notes, in-class exercises, homeworks, etc.The examples in this book are in Python, but it is a simple subset of Python. If you have read the first 14 chapters of Think Python, you are ready to go.
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Book Description O'Reilly Media, 2011. Paperback. Condition: New. Seller Inventory # DADAX1449307116
Book Description O'Reilly Media, 2011. Paperback. Condition: New. Never used!. Seller Inventory # P111449307116
Book Description O'Reilly Media. PAPERBACK. Condition: New. 1449307116 New Condition. Seller Inventory # NEW7.0613939