Description: About this Item The item is a book Paperback The Author Name is Richard Erickson The Title is Football Analytics with Python & R : Learning Data Science Through the Lens of Sports Condition New Other Comments Pages Count - 349. Category - Computers Product Description - 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 We Use Stock Images Because we have over 2 million items for sale we have to use stock images, this listing does not include the actual image of the item for sale. The purchase of this specific item is made with the understanding that the image shown in this listing is a stock image and not the actual item for sale. For example: some of our stock images include stickers, labels, price tags, hyper stickers, obi's, promotional messages, signatures and or writing which may not be available in the actual item. When possible we will add details of the items we are selling to help buyers know what is included in the item for sale. The details are provided automatically from our central master database and can sometimes be wrong. Books are released in many editions and variations, such as standard edition, re-issue, not for sale, promotional, special edition, limited edition, and many other editions and versions. The Book you receive could be any of these editions or variations. If you are looking for a specific edition or version please contact us to verify what we are selling. Gift IdeasThis is a great Christmas gift idea. Hours of ServiceWe have many warehouses, some of the warehouses process orders seven days a week, but the Administration Support Staff are located at a head office location, outside of the warehouses, and typically work only Monday to Friday. Location ID 9000z iHaveit SKU ID 167505309
Price: 90.15 USD
Location: US
End Time: 2024-12-22T12:36:14.000Z
Shipping Cost: 0 USD
Product Images
Item Specifics
Restocking Fee: No
Return shipping will be paid by: Buyer
All returns accepted: Returns Accepted
Item must be returned within: 30 Days
Refund will be given as: Money Back
Fiction/Non-Fiction: Non-Fiction
Genre/Subject: Computers
Brand: O'Reilly Media
Weight: 0.56
Style: NA
Title: Football Analytics with Python R Learning Data Science Throug
Release Title: Football Analytics with Python R Learning Data Science Throug
Record Grading: New
Sleeve Grading: New
Platform: NA
Size: NA
Film/TV Title: Football Analytics with Python R Learning Data Science Throu
Colour: NA
Material: NA
Department: NA
Movie/TV Title: Football Analytics with Python R Learning Data Science Throu
UPC: 9781492099628
EAN: 9781492099628
ISBN: 9781492099628
Main Stone: NA
Metal Purity: NA
Metal: NA
Connectivity: NA
Model: NA
Number of Pages: 349 Pages
Language: English
Publication Name: Football Analytics with Python and R : Learning Data Science Through the Lens of Sports
Publisher: O'reilly Media, Incorporated
Subject: Mathematical & Statistical Software, Probability & Statistics / General, Data Visualization, Gambling / Sports, Football, Programming Languages / Python, Recreations & Games
Item Height: 0.8 in
Publication Year: 2023
Item Weight: 21.9 Oz
Type: Textbook
Subject Area: Mathematics, Computers, Sports & Recreation, Games & Activities
Author: Eric A. Eager, Richard A. Erickson
Item Length: 9.2 in
Item Width: 7 in
Format: Trade Paperback
