Football Analytics with Python & R: Learning Data Science Through the Lens of Sports (1)

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Synopsis
Baseball is not the only sport to use "moneyball." American football fans, teams, and gamblers are increasingly using data to gain an edge against the competition. Professional and college teams use data to help select players and identify team needs. Fans use data to guide fantasy team picks and strategies. Sports bettors and fantasy football players are using data to help inform decision making. This concise book provides a clear introduction to using statistical models to analyze football data.Whether your goal is to produce a winning team, dominate your fantasy football league, qualify for an entry-level football analyst position, or simply learn R and Python using fun example cases, this book is your starting place. You'll learn how to:Apply basic statistical concepts to football datasetsDescribe football data with quantitative methodsCreate efficient workflows that offer reproducible resultsUse data science skills such as web scraping, manipulating data, and plotting dataImplement statistical models for football dataLink data summaries and model outputs to create reports or presentations using tools such as R Markdown and R ShinyAnd more
Copyright:
2023

Book Details

Book Quality:
Publisher Quality
Book Size:
352 Pages
ISBN-13:
9781492099581
Related ISBNs:
9781492099598, 9781492099628
Publisher:
O'Reilly Media
Date of Addition:
Copyrighted By:
Eric A. Eager and Richard A. Erickson.
Adult content:
No
Language:
English
Has Image Descriptions:
No
Categories:
Nonfiction, Sports, Computers and Internet, Mathematics and Statistics
Submitted By:
Bookshare Staff
Usage Restrictions:
This is a copyrighted book.

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