NBA and MLB datasets

Overview

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

Faculty instructor: Mine Cetinkaya-Rundel

Course: STA 112 (Data Science)

Introduce NBA and MLB datasets to undergraduates to help them gain expertise in:

  • Exploratory data analysis
  • Data visualization
  • Statistical inference
  • Predictive modeling
Applications:
  • Assessing home field advantage
  • Determining long term trends
  • Predicting game outcomes

Contact

Paul Bendich
bendich@math.duke.edu

Topics

Data Expeditions