{"product_id":"introduction-to-sports-analytics-using-r-paperback","title":"Introduction to Sports Analytics Using R - Paperback","description":"\u003cdiv\u003e\u003cp style=\"text-align: right;\"\u003e\u003ca href=\"https:\/\/reportcopyrightinfringement.com\/\" target=\"_blank\" rel=\"nofollow\"\u003e\u003cb\u003eReport copyright infringement\u003c\/b\u003e\u003c\/a\u003e\u003c\/p\u003e\u003c\/div\u003e\u003cp\u003eby \u003cb\u003eRyan Elmore\u003c\/b\u003e (Author), \u003cb\u003eAndrew Urbaczewski\u003c\/b\u003e (Author)\u003c\/p\u003e\u003cp\u003e\u003c\/p\u003e\u003cp\u003e\u003cstrong\u003eIntroduction to Sports Analytics using R\u003c\/strong\u003e prepares students for the programming and analytical challenges of Sports Analytics. Key techniques covered using R and the Tidyverse include data acquisition\/web scraping, regression, prediction, simulation, visualization, and cluster models. Sports covered include baseball, basketball, football, ice hockey, soccer, golf, sports betting, and daily fantasy sports. However, the techniques and insights learned should prove valuable for studying other sports. Students are expected to have had a programming course (though not necessarily R) and a statistics class. A prior course in linear programming and optimization models will provide advanced insight into the decision-making processes covered but is not necessary. \u003c\/p\u003e\u003cp\u003e\u003c\/p\u003e\u003cp\u003eFEATURES: \u003c\/p\u003e\u003cp\u003e\u003cstrong\u003eProvides hands-on experiences\u003c\/strong\u003e\u003c\/p\u003e\u003cp\u003eStudents are taught the fundamental methodology first. This serves as the foundation to subsequent analyses and data manipulations. In this manner, students learn much more than how to talk about sports. They learn to generate, manipulate, visualize, and analyze illuminating data.\u003c\/p\u003e\u003cp\u003e\u003c\/p\u003e\u003cp\u003e\u003cstrong\u003eFosters the use of visualizations for analysis and presentation\u003c\/strong\u003e\u003c\/p\u003e\u003cp\u003eThe use and importance of data visualizations are stressed throughout both as a way of more richly understanding problems and as a way to present key findings, especially to non-technical audiences.\u003c\/p\u003e\u003cp\u003e\u003c\/p\u003e\u003cp\u003e\u003cstrong\u003eMotivates students with real-world problems\u003c\/strong\u003e\u003c\/p\u003e\u003cp\u003eEach chapter about a sport includes a case study regarding a key challenge that invites analysis. These are designed to motivate learning and stimulate discussion.\u003c\/p\u003e\u003cp\u003e\u003c\/p\u003e\u003cp\u003e\u003cstrong\u003ePrepares students for further advanced work\u003c\/strong\u003e\u003c\/p\u003e\u003cp\u003eEach chapter includes a Research Block that engages sports analytic questions currently addressed in the literature and provides links. In an evolving, highly competitive field, this provides students pursuing a career in sports analytics with an exceedingly valuable skill, habit, and resource.\u003c\/p\u003e\u003cp\u003e\u003c\/p\u003e\u003cp\u003e\u003cstrong\u003eAn eTextbook version is available at VitalSource.com for $44.65 USD. ISBN: \u003c\/strong\u003e\u003cstrong\u003e978-1-958303-06-1.\u003c\/strong\u003e\u003c\/p\u003e\u003cp\u003e\u003c\/p\u003e\n            \u003cdiv\u003e\n\u003cstrong\u003eNumber of Pages:\u003c\/strong\u003e 206\u003c\/div\u003e\n            \u003cdiv\u003e\n\u003cstrong\u003eDimensions:\u003c\/strong\u003e 0.44 x 10 x 8 IN\u003c\/div\u003e\n            \u003cdiv\u003e\n\u003cstrong\u003ePublication Date:\u003c\/strong\u003e June 26, 2024\u003c\/div\u003e\n            ","brand":"BooksCloud","offers":[{"title":"Default Title","offer_id":52959230689587,"sku":"9781958303078","price":130.12,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0300\/5595\/6612\/files\/GsTHbgUAnC9781958303078.webp?v=1768467259","url":"https:\/\/www.vysn.com\/en-ca\/products\/introduction-to-sports-analytics-using-r-paperback","provider":"VYSN","version":"1.0","type":"link"}