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Sports Analytics and Data Science

2015-11-18 Business & Economics
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Release : 2015-11-18
Genre : Business & Economics
Kind : eBook
Book Rating : 413/5 ( reviews)

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Book Synopsis Sports Analytics and Data Science by : Thomas W. Miller

Download or read book Sports Analytics and Data Science written by Thomas W. Miller. This book was released on 2015-11-18. Available in PDF, EPUB and Kindle. Book excerpt: This is the eBook of the printed book and may not include any media, website access codes, or print supplements that may come packaged with the bound book. This up-to-the-minute reference will help you master all three facets of sports analytics — and use it to win! Sports Analytics and Data Science is the most accessible and practical guide to sports analytics for everyone who cares about winning and everyone who is interested in data science. You’ll discover how successful sports analytics blends business and sports savvy, modern information technology, and sophisticated modeling techniques. You’ll master the discipline through realistic sports vignettes and intuitive data visualizations–not complex math. Every chapter focuses on one key sports analytics application. Miller guides you through assessing players and teams, predicting scores and making game-day decisions, crafting brands and marketing messages, increasing revenue and profitability, and much more. Step by step, you’ll learn how analysts transform raw data and analytical models into wins: both on the field and in any sports business.

Sports Analytics

2024-05-28 Sports & Recreation
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Release : 2024-05-28
Genre : Sports & Recreation
Kind : eBook
Book Rating : 89X/5 ( reviews)

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Book Synopsis Sports Analytics by : Benjamin C. Alamar

Download or read book Sports Analytics written by Benjamin C. Alamar. This book was released on 2024-05-28. Available in PDF, EPUB and Kindle. Book excerpt: Data and analytics have the potential to provide sports organizations with a competitive advantage both on and off the field. Yet even as the use of analytics in sports has become commonplace, teams regularly find themselves making big investments without significant payoff. This book is a practical, nontechnical guide to incorporating sports data into decision making, giving leaders the knowledge they need to maximize their organization’s investment in analytics. Benjamin C. Alamar—a leading expert who has built high-performing analytics groups—surveys the current state of the use of data in sports, including both specifics around the tools and how to deploy them most effectively. Sports Analytics offers a clear, easily digestible overview of data management, statistical models, and information systems and a detailed understanding of their vast possibilities. It walks readers through the essentials of understanding the value of different types of data and strategies for building and managing an analytics team. Throughout, Alamar illustrates the value of analytics with real-world examples and case studies from both the sports and business sides. Sports Analytics has guided a range of sports professionals to success since its original publication in 2013. This second edition adds examples and strategies that focus on using data on the business side of a sports organization, provides concrete strategies for incorporating different types of data into decision making, and updates all discussions for the rapid technological developments of the last decade.

Football Analytics with Python & R

2023-08-15 Computers
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Release : 2023-08-15
Genre : Computers
Kind : eBook
Book Rating : 597/5 ( reviews)

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Book Synopsis Football Analytics with Python & R by : Eric A. Eager

Download or read book Football Analytics with Python & R written by Eric A. Eager. This book was released on 2023-08-15. Available in PDF, EPUB and Kindle. Book excerpt: 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 And more

Sports Analytics and Data Science

2015 Sports
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Release : 2015
Genre : Sports
Kind : eBook
Book Rating : 402/5 ( reviews)

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Book Synopsis Sports Analytics and Data Science by : Thomas W. Miller

Download or read book Sports Analytics and Data Science written by Thomas W. Miller. This book was released on 2015. Available in PDF, EPUB and Kindle. Book excerpt:

Sports Analytics

2018-06-12 Sports & Recreation
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Release : 2018-06-12
Genre : Sports & Recreation
Kind : eBook
Book Rating : 954/5 ( reviews)

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Book Synopsis Sports Analytics by : Ambikesh Jayal

Download or read book Sports Analytics written by Ambikesh Jayal. This book was released on 2018-06-12. Available in PDF, EPUB and Kindle. Book excerpt: As the analysis of big datasets in sports performance becomes a more entrenched part of the sporting landscape, so the value of sport scientists and analysts with formal training in data analytics grows. Sports Analytics: Analysis, Visualisation and Decision Making in Sports Performance provides the most authoritative and comprehensive guide to the use of analytics in sport and its application in sports performance, coaching, talent identification and sports medicine available. Employing an approach-based structure and integrating problem-based learning throughout the text, the book clearly defines the difference between analytics and analysis and goes on to explain and illustrate methods including: Interactive visualisation Simulation and modelling Geospatial data analysis Spatiotemporal analysis Machine learning Genomic data analysis Social network analysis Offering a mixed-methods case study chapter, no other book offers the same level of scientific grounding or practical application in sports data analytics. Sports Analytics is essential reading for all students of sports analytics, and useful supplementary reading for students and professionals in talent identification and development, sports performance analysis, sports medicine and applied computer science.

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