
Think Stats
Allen B. Downey(Author)
O'Reilly (Publisher)
2nd Edition
Published on 25. November 2014
Book
Paperback/Softback
223 pages
978-1-4919-0733-7 (ISBN)
Article exhausted; check for reprint
Description
If you know how to program, you have the skills to turn data into knowledge, using tools of probability and statistics. This concise introduction shows you how to perform statistical analysis computationally, rather than mathematically, with programs written in Python.
By working with a single case study throughout this thoroughly revised book, you'll learn the entire process of exploratory data analysis-from collecting data and generating statistics to identifying patterns and testing hypotheses. You'll explore distributions, rules of probability, visualization, and many other tools and concepts.
New chapters on regression, time series analysis, survival analysis, and analytic methods will enrich your discoveries.
* Develop an 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
* Import data from most sources with Python, rather than rely on data that's cleaned and formatted for statistics tools
* Use statistical inference to answer questions about real-world data
By working with a single case study throughout this thoroughly revised book, you'll learn the entire process of exploratory data analysis-from collecting data and generating statistics to identifying patterns and testing hypotheses. You'll explore distributions, rules of probability, visualization, and many other tools and concepts.
New chapters on regression, time series analysis, survival analysis, and analytic methods will enrich your discoveries.
* Develop an 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
* Import data from most sources with Python, rather than rely on data that's cleaned and formatted for statistics tools
* Use statistical inference to answer questions about real-world data
More details
Language
English
Place of publication
Sebastopol
United States
Target group
Professional and scholarly
Dimensions
Height: 233 mm
Width: 177 mm
Thickness: 13 mm
Weight
400 gr
ISBN-13
978-1-4919-0733-7 (9781491907337)
Schweitzer Classification
Other editions
New editions

Book
04/2025
3rd Edition
O'Reilly
€79.50
Available immediately
Additional editions

E-Book
10/2014
1st Edition
O'Reilly
€22.49
Available for download

Previous edition

Allen B. Downey
Think Stats
Book
08/2011
1st Edition
O'Reilly
€24.50
Article exhausted; check for reprint
Person
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.