{"product_id":"applied-sport-business-analytics-epub","title":"Applied Sport Business Analytics epub","description":"\u003c!-- split --\u003e\u003cul class=\"tabs\"\u003e \u003cli\u003e\u003ca href=\"#tab-description\" id=\"display-description\"\u003eDescription\u003c\/a\u003e\u003c\/li\u003e \u003cli\u003e\u003ca href=\"#tab-tableofcontents\" id=\"display-tableofcontents\"\u003eTable of Contents\u003c\/a\u003e\u003c\/li\u003e \u003cli\u003e\u003ca href=\"#tab-author\" id=\"display-author\"\u003eAuthor\u003c\/a\u003e\u003c\/li\u003e \u003cli\u003e\u003ca href=\"#tab-ancillaries\" id=\"display-ancillaries\"\u003eAncillaries\u003c\/a\u003e\u003c\/li\u003e \u003cli\u003e\u003ca href=\"#tab-excerpt\" id=\"display-excerpt\"\u003eExcerpts\u003c\/a\u003e\u003c\/li\u003e \u003c\/ul\u003e\u003cdiv id=\"tab-description\" class=\"tab-content\"\u003e \u003cp\u003e\u003ci\u003eApplied Sport Business Analytics\u003c\/i\u003e provides a practical explanation of the use of data analytic metrics in sport, exploring selected techniques and tools as well as addressing fundamental applications of analytics within modern sports organizations. Current and aspiring sport managers will develop their understanding of how analytics can be used strategically to make data-informed decisions by selecting and translating data into evidence and meaningful metrics.\u003cbr\u003e\u003cbr\u003eThe text begins with an introduction to the world of analytics, exploring the social, economic, and business foundations that form the history of data analytics. Different strategies used to make data-driven decisions are discussed to demonstrate the importance of analytics in a modern sport context. The text explains terms and methods that are typical in sport analytics, bridging the gap between sport managers and sport analysts to help them understand the perceptions and needs of one another.\u003cbr\u003e\u003cbr\u003eThe text’s focus on quantitative statistical analysis—with its exploration of modeling, predictive analytics, and forecasting—helps students learn how to analyze data and make use of it. Students will then learn to turn data into visual representations such as cluster diagrams to reveal clear results. With practical exercises that utilize five included datasets and are heavily support by related video tutorials delivered through HK\u003ci\u003ePropel\u003c\/i\u003e, even those without programming experience will learn how to program and transform complex statistical data into easy-to-understand visuals.\u003cbr\u003e\u003cbr\u003eCase studies exploring real-world scenarios—including player position analysis in women's professional basketball, esport player popularity and market analysis, and prospective player evaluation for the NFL draft—examine managerial implications to help develop understanding of what questions to ask, how to interpret data, and how to use data to make informed decisions. Finally, an in-depth look at how cutting-edge analytics mechanisms were used to analyze over one million tweets associated with the NBA over an entire season will illustrate how to successfully work with large amounts of data to achieve results.\u003cbr\u003e\u003cbr\u003eConcepts throughout the book are made easy to understand through exercises, datasets, and video lectures on key topics, all accessible through HK\u003ci\u003ePropel\u003c\/i\u003e. These tools combine to provide valuable experience and practical understanding. Interview With a Professional sidebars offer additional real-world glimpses into the use of analytics by practitioners in sport business.\u003cbr\u003e\u003cbr\u003e\u003ci\u003eApplied Sport Business Analytics\u003c\/i\u003e will provide a broader and deeper knowledge of the use of sport analytics for aspiring sport managers, data analysts, and practitioners alike. It will prepare them to translate metrics in a useful way that allows them to make data-informed and data-driven decisions to achieve desired outcomes in their organization.\u003cbr\u003e\u003cbr\u003eNote: A code for accessing HK\u003ci\u003ePropel\u003c\/i\u003e is included with this ebook.\u003c\/p\u003e\n\u003ch4\u003eAudience\u003c\/h4\u003eText for upper-level undergraduate courses in sport management and sport business; reference for academic libraries and researchers in sport management and sport business analytics.\u003c\/div\u003e\u003c!--end tabDescription--\u003e\u003cdiv id=\"tab-tableofcontents\" class=\"tab-content\"\u003e \u003cb\u003eChapter 1.\u003c\/b\u003e Foundations of Analytics for Sport Managers\u003cbr\u003eA Brief History of Analytics in Sport\u003cbr\u003eEvolution of Sport Analytics and the MIT Sloan Sports Analytics Conference\u003cbr\u003eData and Decision-Making\u003cbr\u003eSystems and Analytics\u003cbr\u003eEmerging Applications of Sport Analytics\u003cbr\u003eSummary\u003cbr\u003eOnline Activities\u003cbr\u003eReferences\u003cbr\u003e\u003cbr\u003e\u003cb\u003eChapter 2.\u003c\/b\u003e Working With Quantitative Data in R\u003cbr\u003eR Basics\u003cbr\u003eExploring Datasets\u003cbr\u003eIsolating Variables With Brackets, c(), and Operators\u003cbr\u003eDescriptive Statistics\u003cbr\u003eInferential Statistics\u003cbr\u003eSummary\u003cbr\u003eOnline Activities\u003cbr\u003eReferences\u003cbr\u003e\u003cbr\u003e\u003cb\u003eChapter 3.\u003c\/b\u003e Plotting Data in R\u003cbr\u003eBase Plotting Structures in R\u003cbr\u003eSetting and Mapping Plot Elements\u003cbr\u003ePlotting Data With ggplot2()\u003cbr\u003eMap Plots\u003cbr\u003eSummary\u003cbr\u003eOnline Activities\u003cbr\u003eReferences\u003cbr\u003e\u003cbr\u003e\u003cb\u003eChapter 4.\u003c\/b\u003e Data-Driven Decision-Making\u003cbr\u003eMachine Learning Analysis: WNBA Players’ Positions Analytics Application\u003cbr\u003eEsport Analytics Application\u003cbr\u003eEuropean Football Analytics Application\u003cbr\u003eNFL Player Evaluations Analytics Application\u003cbr\u003eComparative Analysis of Male and Female Prize Monies and Salaries Analytics Application\u003cbr\u003eOnline Activities\u003cbr\u003eReferences\u003cbr\u003e\u003cbr\u003e\u003cb\u003eChapter 5.\u003c\/b\u003e Natural Language Processing and Text Mining\u003cbr\u003eLanguage as Object Classes and Strings\u003cbr\u003eBasic Text Processing Workflow\u003cbr\u003eIdentify Text Sources, Preprocessing, and Feature Extraction\u003cbr\u003eAnalytics\u003cbr\u003eInsight and Recommendations\u003cbr\u003eSummary\u003cbr\u003eOnline Activities\u003cbr\u003eReferences\u003c\/div\u003e\u003c!--end tabTableOfContents--\u003e\u003cdiv id=\"tab-author\" class=\"tab-content\"\u003e \u003cb\u003eChristopher Atwater\u003c\/b\u003e is an assistant professor of sport management in the School of Hospitality, Sport, and Tourism Management at Troy University. He teaches analytics courses at the graduate and undergraduate levels.\u003cbr\u003e\u003cbr\u003e\u003cb\u003eRobert Baker\u003c\/b\u003e is a professor and the director of the Center for Sport Management at George Mason University. He is a former president of the North American Society for Sport Management (NASSM), a founding board member of the World Association for Sport Management (WASM), and a founding commissioner of the Commission on Sport Management Accreditation (COSMA). He has conducted numerous presentations and produced articles on sport analytics.\u003cbr\u003e\u003cbr\u003e\u003cb\u003eTed Kwartler\u003c\/b\u003e earned his MBA from Notre Dame. He is an instructor at Harvard University. He has conducted many presentations and written articles on sport analytics. He also authored a popular book entitled Text Mining.\u003c\/div\u003e\u003c!--end tabAuthor--\u003e\u003cdiv id=\"tab-excerpt\" class=\"tab-content\"\u003e \u003ca class=\"alsoAvailableAs\" href=\"\/blogs\/excerpt\/comparative-analysis-of-male-and-female-athlete-salaries\"\u003eComparative analysis of male and female athlete salaries\u003c\/a\u003e\u003cbr\u003e\u003ca class=\"alsoAvailableAs\" href=\"\/blogs\/excerpt\/data-and-decision-making\"\u003eData and decision-making\u003c\/a\u003e\u003cbr\u003e\u003ca class=\"alsoAvailableAs\" href=\"\/blogs\/excerpt\/framework-for-a-natural-language-processing-analysis\"\u003eFramework for a natural language processing analysis\u003c\/a\u003e\u003cbr\u003e\u003cbr\u003e\u003ca data-fancybox class=\"fancybox\" data-fancybox-group=\"gallery\" href=\"https:\/\/cdn.shopify.com\/s\/files\/1\/1281\/4359\/files\/Club_logo_recognition.jpg?v=1741343467\" alt=\"\"\u003e\u003cimg class=\"sample-content-thumbnail img-responsive\" src=\"https:\/\/cdn.shopify.com\/s\/files\/1\/1281\/4359\/files\/Club_logo_recognition.jpg?v=1741343467\" alt=\"\"\u003e\u003c\/a\u003e\u003ca data-fancybox class=\"fancybox\" data-fancybox-group=\"gallery\" href=\"https:\/\/cdn.shopify.com\/s\/files\/1\/1281\/4359\/files\/Club_logo_recognition_continued.jpg?v=1741343501\" alt=\"\"\u003e\u003cimg class=\"sample-content-thumbnail img-responsive\" src=\"https:\/\/cdn.shopify.com\/s\/files\/1\/1281\/4359\/files\/Club_logo_recognition_continued.jpg?v=1741343501\" alt=\"\"\u003e\u003c\/a\u003e\u003ca data-fancybox class=\"fancybox\" data-fancybox-group=\"gallery\" href=\"https:\/\/cdn.shopify.com\/s\/files\/1\/1281\/4359\/files\/Club_logo_recognition_and_video_game_usage.jpg?v=1741343536\" alt=\"\"\u003e\u003cimg class=\"sample-content-thumbnail img-responsive\" src=\"https:\/\/cdn.shopify.com\/s\/files\/1\/1281\/4359\/files\/Club_logo_recognition_and_video_game_usage.jpg?v=1741343536\" alt=\"\"\u003e\u003c\/a\u003e\u003ca data-fancybox class=\"fancybox\" data-fancybox-group=\"gallery\" href=\"https:\/\/cdn.shopify.com\/s\/files\/1\/1281\/4359\/files\/Club_logo_recognition_and_video_game_usage_continued.jpg?v=1741343570\" alt=\"\"\u003e\u003cimg class=\"sample-content-thumbnail img-responsive\" src=\"https:\/\/cdn.shopify.com\/s\/files\/1\/1281\/4359\/files\/Club_logo_recognition_and_video_game_usage_continued.jpg?v=1741343570\" alt=\"\"\u003e\u003c\/a\u003e\n\u003c\/div\u003e\u003c!--end tabExcerpt--\u003e\u003cdiv id=\"tab-ancillaries\" class=\"tab-content\"\u003e \u003cp\u003eAll ancillaries are free to adopting instructors through \u003ca href=\"\/pages\/ancillary-materials\" target=\"_blank\"\u003eHK\u003ci\u003ePropel\u003c\/i\u003e\u003c\/a\u003e.\u003c\/p\u003e\n\u003cp\u003e\u003cb\u003eInstructor guide.\u003c\/b\u003e Includes datasets (in .csv file format), answer guides for online exercises and assessments, and a link to video tutorials maintained by author Chris Atwater.\u003c\/p\u003e\n\u003cp\u003e\u003cb\u003eChapter quizzes.\u003c\/b\u003e Contains ready-made quizzes (10 questions each) to assess student comprehension of the most important concepts in each chapter. Each quiz may be downloaded or assigned to students directly through HK\u003ci\u003ePropel\u003c\/i\u003e. The chapter assessments are automatically graded, and instructors can review student scores in the platform.\u003c\/p\u003e\n\u003cp\u003e\u003cb\u003eInstructors also receive access to all student materials in HK\u003ci\u003ePropel\u003c\/i\u003e.\u003c\/b\u003e For \u003ci\u003eApplied Sport Business Analytics\u003c\/i\u003e, this includes a key term activity, links to 36 videos maintained by author Chris Atwater, and five datasets with accompanying exercises and assignments.\u003c\/p\u003e\n\u003c\/div\u003e\u003c!--end tabAncillaries--\u003e","brand":"Christopher Atwater,Robert E. Baker,Ted Kwartler","offers":[{"title":"Ebook With Online Resource","offer_id":43433386311754,"sku":null,"price":82.0,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/1281\/4359\/files\/9781492598541.jpg?v=1777328522","url":"https:\/\/us.humankinetics.com\/products\/applied-sport-business-analytics-epub","provider":"Human Kinetics","version":"1.0","type":"link"}