NBA and MLB datasets

Project Summary

Introduce NBA and MLB datasets to undergraduates to help them gain expertise in exploratory data analysis, data visualization, statistical inference, and predictive modeling.

Themes and Categories
Year
Contact
Paul Bendich
bendich@math.duke.edu

Graduate students: Joe Futoma and Ken McAlinn, PhD students, Statistical Science

Faculty instructor: Mine Cetinkaya-Rundel

Course: STA 112 (Data Science)

Applications:

  • Assessing home field advantage
  • Determining long term trends
  • Predicting game outcomes

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