Think Stats

Exploratory Data Analysis

By: Allen Downey

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Paperback | 28 October 2014 | Edition Number 2

At a Glance

Paperback
226 Pages

Edition Type
Revised

Dimensions(cm)
24.5 x 17.5 x 1.5

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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.

Book features :

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

About the Author

Allen B. Downey is a Professor of Computer Science at Olin College of Engineering. He has taught 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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