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

📚📚 I. THÔNG TIN SẢN PHẨM
📒 Mã sản phẩm :  STT953
📒 Nhà xuất bản : Oreilly & Associates Inc; 1st edition (September 19, 2023)
📒 Tác giả :  Eric A. Eager , Richard A. Erickson
📒 Ngôn ngữ :   Tiếng Anh
📒 ISBN      : 1492099627
📒 Số trang :  327  trang
📒 Hình thức : Bìa Mềm, IN ĐEN TRẮNG
📒 Loại : Sách gia công đóng gáy keo chắc chắn chất lượng cao
📒 Giấy in : Giấy ngoại định lượng 70msg, viết vẽ và hightlight thoải mái.
📒 Chất lượng : Bản in rõ nét, giá rất tốt cho mọi người.

📚📚 II. MÔ TẢ SẢN PHẨM
📒 1.Mô tả sản phẩm

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 datasets
- Describe football data with quantitative methods
- Create efficient workflows that offer reproducible results
- Use data science skills such as web scraping, manipulating data, and plotting data
- Implement statistical models for football data
- Link data summaries and model outputs to create reports or presentations using tools such as R Markdown and R Shiny

📒 2. Tác giả

Eric A Eager is the Head of Research, Development and Innovation at Pro Football Focus (PFF), where he uses his training as an applied mathematician to produce solutions to quantitative problems for 32 National Football League clients, over 105 NCAA Football clients and numerous media clients and contacts.

He also co-hosts the PFF Forecast Podcast, which can be found on PodcastOne and iTunes and is the most popular football analytics podcast in the world since 2018.