Home Think STATS: Exploratory Data Analysis by Allen B. Downey (ISBN: 9781491907337)

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Think STATS: Exploratory Data Analysis Paperback - 2014

Name: Think Stats: Exploratory Data Analysis
Price: 1.00 USD
Availability: InStock
Author: Downey, Allen B
ISBN: 9781491907337

by Allen B. Downey

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From the publisher

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

Details

Title Think STATS: Exploratory Data Analysis
Author Allen B. Downey
Binding Paperback
Edition Paperback
Pages 223
Volumes 1
Language ENG
Publisher O'Reilly Media
Publication date 2014-10
ISBN 9781491907337 / 1491907339
Weight 0.81 lbs (0.37 kg)
Dimensions 9.19 x 7 x 0.48 in (23.34 x 17.78 x 1.22 cm)
Category Computers - Data Base Management
Dewey Decimal Code 519.5

About the author

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.