Temple University 3 credits SRM
The class will discuss the theory, development, and application of analytics in sport. Students will learn about the application of analytics in sport for evaluating player performance, team management, market segmentation, pricing, and other areas in sport industry operations. Analytics includes the inclusive use of data, statistical and quantitative analysis, explanatory and predictive models, and fact-based decision making. This course provides an application of sports analytics and builds quantitative skills with application software. Students will learn the use of different data analysis software to support decision-making in the presence of sports industry constraints, and will develop predictive capabilities using regression models, machine learning, data mining, and forecasting techniques.
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