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Sports Analytics and Data Science
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Table of Contents

  • 1: Understanding Sports Markets   
  • 2: Assessing Players   
  • 3: Ranking Teams   
  • 4: Predicting Scores   
  • 5: Making GameDay Decisions   
  • 6: Crafting a Message   
  • 7: Promoting Brands and Products   
  • 8: Growing Revenues   
  • 9: Managing Finances   
  • 10: Playing Whatif Games   
  • 11: Working with Sports Data   
  • 12: Competing on Analytics   
  • A: Data Science Methods   
  • A.1: Mathematical Programming   
  • A.2: Classical and Bayesian Statistics   
  • A.3: Regression and Classification   
  • A.4: Data Mining and Machine Learning   
  • A.5: Text and Sentiment Analysis   
  • A.6: Time Series, Sales Forecasting, and Market Response Models   
  • A.7: Social Network Analysis   
  • A.8: Data Visualization   
  • A.9: Data Science: The Eclectic Discipline   
  • B: Professional Leagues and Teams   
  • Data Science Glossary   
  • Baseball Glossary   
  • Bibliography   
  • Index   

About the Author

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

 

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