Sports Analytics and Data Science: Winning the Game with Methods and Models
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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.
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THOMAS W. MILLER is faculty director of the Predictive Analytics program at Northwestern University. He has designed courses for the program, including Sports Management Analytics, Marketing Analytics, Advanced Modeling Techniques, Data Visualization, Web and Network Data Science, Database Systems and Data Preparation, and the capstone course. He has taught extensively in the program and works with more than 40 other faculty members in delivering training in predictive analytics and data science.
Miller is also owner and president of Research Publishers LLC. He has consulted widely in the areas of retail site selection, product positioning, segmentation, text and sentiment analysis, and pricing in competitive markets, and has worked with predictive models for over 30 years.
Miller’s books include Marketing Data Science: Modeling Techniques in Predictive Analytics with R and Python; Web and Network Data Science; Modeling Techniques in Predictive Analytics with Python and R: A Guide to Data Science, and a previous book about predictive modeling in sports, Without a Tout: How to Pick a Winning Team.
Before entering academia, Miller spent nearly 15 years in business IT in the computer and transportation industries. He also directed the A. C. Nielsen Center for Marketing Research and taught market research and business strategy at the University of Wisconsin—Madison.
He holds a Ph.D. in psychology (psychometrics) and a master’s degree in statistics from the University of Minnesota, and an MBA and master’s degree in economics from the University of Oregon. Find additional content and tools at www.ftpress.com/miller
