Statistics Slam Dunk

The general take

Gary Sutton sees Statistics Slam Dunk as a fresh take on stats education, organized around testing actual hypotheses rather than teaching methods in isolation like traditional manuals do. He highlights that the book pulls in whatever statistical techniques are needed to confirm or deny each hypothesis as it goes, which he views as a meaningfully different approach from how most books structure stats instruction.

About

Learn statistics by analyzing professional basketball data! In this action-packed book, you’ll build your skills in exploratory data analysis by digging into the fascinating world of NBA games and player stats using the R language. Statistics Slam Dunk is an engaging how-to guide for statistical analysis with R. Each chapter contains an end-to-end data science or statistics project delving into NBA data and revealing real-world sporting insights. Written by a former basketball player turned business intelligence and analytics leader, you’ll get practical experience tidying, wrangling, exploring, testing, modeling, and otherwise analyzing data with the best and latest R packages and functions.

Who said what

• GS

  Gary Sutton👍 Recommends

  …discussing gary sutton's first data science book using real nba data

  “My first one is titled Statistics Slam Dunk. So it's very different from other manuals, at least in a couple of meaningful ways. I mean, number one, most books tend to dedicate a single chapter toward teaching a single method. My book instead takes a hypothesis and it tests that hypothesis. And any method or technique that's needed to then confirm or deny that hypothesis is taught within that chapter.”

  Digital Social Hour — The Project Management Problem Nobody Talks About... | Gary Sutton | DSH #2013at 04:40

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