❤️ loved this book because...
It is THE book for basketball analytics, very inspiring and agreeable to read.
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Loved Most
🥇 Teach 🥈 Thoughts -
Writing style
👍 Liked it -
Pace
🐕 Good, steady pace
1 author picked Basketball Data Science as one of their favorite books, and they share why you should read it.
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…
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