KSM 385 - Introduction to Sport Analytics

The class will examine the growth and development of analytics in the sport industry with a specific focus on the interpretation of analytically-derived strategies. Students will engage topics such as performance analytics, sales analytics, optimizing consumer flows, using big data in decision making, and outcome forecasting in sporting and fantasy competitions. The class will primarily consist of lectures, case studies, and group projects.

Prerequisites and Corequisites
Prerequisite: MATH 102 or higher level MATH course.

Credits: 3

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