Basketball Data Science: With Applications in R

Basketball Data Science: With Applications in R
  • eBook:
    Basketball Data Science: With Applications in R
  • Author:
    Paola Zuccolotto, Marica Manisera
  • Edition:
    1 edition
  • Categories:
  • Data:
    January 14, 2020
  • ISBN:
  • ISBN-13:
  • Language:
  • Pages:
    243 pages
  • Format:

Book Description
Using data from one season of NBA games, Basketball Data Science: With Applications in R is the perfect book for anyone interested in learning and applying data analytics in basketball. Whether assessing the spatial performance of an NBA player’s shots or doing an analysis of the impact of high pressure game situations on the probability of scoring, this book discusses a variety of case studies and hands-on examples using a custom R package. The codes are supplied so readers can reproduce the analyses themselves or create their own. Assuming a basic statistical knowledge, Basketball Data Science with R is suitable for students, technicians, coaches, data analysts and applied researchers.
· 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.


Part I Getting Started Analyzing Basketball Data
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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