Sports Management and Analytics with Python Application. 3 credits, 3 contact hours

Catalog description

Prerequisites: MGMT 116 and MGMT 216 . This course concentrates on the world of sports performance management through the lens of business intelligence, including descriptive and predictive analytics, and related support technologies and tools, such as Python programming and Jupyter Notebooks to analyze, and manage performance data in sport. Overall, this course focuses on teaching knowledge and analytics skills to better manage sport data and sport related enterprises. The course materials focus on three fundamental aspects of sport management, including: (1) collection, assessment and forecasting performance data of players and teams, (2) decision analysis and strategic planning of sport-related organizations, and (3) statistical forecasting in sports betting. In addition, the course offers students opportunities to collect sport relevant datasets, and to produce their own results using a hands-on approach in a fast-moving and highly stochastic ecosystem of sports. Thus, students will gain practical skills in data management and analytics skills to support informed decision making for sports management and coaching.