Sports Analytics in Practice with R

Sports Analytics in Practice with R
T Kwartler
RRP:
NZ$ 178.99
Our Price:
NZ$ 152.14
Hardback
h254 x 179mm - 272pg
7 Apr 2022 US
International import eta 10-30 days
9781119598077
Out Of Stock
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Sports Analytics in Practice with RA practical guide for those looking to employ the latest and leading analytical software in sportIn the last twenty years, sports organizations have become a data-driven business. Before this, most decisions in sports were qualitatively driven by subject-matter experts. In the years since numerous teams found success with "Money Ball" analytical perspectives, the industry has sought to advance its analytical acumen to improve on- and off-field outcomes. The increasing demand for data to inform decisions for coaches, scouts, and players before and during sporting events has led to intriguing efforts to build upon this quantitative approach. As this methodology for assessing performance has matured and grown in importance, so too has the open-source R software emerged as one of the leading analytical software packages. In fact, R is a top 10 programming language that is useful in academia and industry for statistics, machine learning, and rapid prototyping. Sports Analytics in Practice with R neatly marries these two advances to teach basic analytics for sports-related use-from cricket to baseball, from basketball to tennis, from soccer to sports gambling, and more. Sports Analytics in Practice with R readers will also find: A broad perspective of sports, focusing on a wide range of sports rather than just oneThe first book of its kind that features coding examplesCase study approach throughout the bookCompanion website including data sets to work through alongside the explanationsSports Analytics in Practice with R is a helpful tool for students and professionals in the sports management field, but also for sports enthusiasts who have a coding background.
Ted Kwartler, MBA, holds a Masters of Business Administration with a citation in analytics from the University of Notre Dame. He is currently a data science instructor at DataCamp. com and Harvard University' s Extension School.
Status: Indent title, imported to order
ISBN-13: 9781119598077
Published: 7 Apr 2022
Published In: United States
Imprint: Wiley-Blackwell
Publisher: John Wiley & Sons
Format: Hardback
Height: 254mm
Width: 179mm
Spine: 21mm
Weight: 622g
Pages: 272

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