Statistical Methods for Sports Analytics

Description from DukeHub

Statistical methods for analyzing data related to sports. Analytic approaches may include statistical modeling, machine learning, causal inference, computer simulation, data visualization, and data management. Applications across a variety of professional and collegiate sports. Course work emphasizes data analysis projects and readings of scholarly works in sports analytics. Corequisite: STA 323L, and Prerequisite: STA 221L, 325L, or 521L

Skills

• data and statisticsdescription: "statistical" and 7 more

AI-resilient: 0 of 5 0/5

• No: Physical, lab or field work
• No: Live work with people
• No: Judgment someone is accountable for
• No: A craft you practice with your hands or body
• No: Small, in-person format

The checks lean on Microsoft Research, Working with AI (2025), which found generative AI applies least to physical work and hands-on work with people. A signal, not a promise. How the score works

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