· One of the first books to provide statistical and data mining methods for the growing field of analytics in basketball.
· Presents tools for modelling graphs and figures to visualize the data.
· Includes real world case studies and examples, such as estimations of scoring probability using the Golden State Warriors as a test case.
· Provides the source code and data so readers can do their own analyses on NBA teams and players.
Chapter 1. Introduction
Chapter 2. Data and Basic Statistical Analyses
Part II Advanced Methods
Chapter 3. Discovering Patterns in Data
Chapter 4. Finding Groups in Data
Chapter 5. Modeling Relationships in Data
Part III Computational Insights
Chapter 6. The R Package BasketballAnalyzeR
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