Texas A&M University 3 credits SPBA
A rigorous and data-driven course, equipping students with advanced analytical skills to optimize athlete performance, prevent injuries, and inform team strategies. Students will analyze athlete performance metrics (e.g., biomechanical, physiological, statistical data) using Python, R, and Tableau, applying sophisticated statistical modeling, machine learning, and visualization techniques. Emphasis on practical applications, with projects involving datasets from professional and collegiate sports (e.g., NFL, NBA, NCAA, EPL). Prerequisites: Graduate classification or approval of instructor.
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