Statistical Methods for Sports Analytics
STA 345
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 |
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
Notes
Class Attributes:
Graded only. S/U not allowed.
(QC) Quant & Comp Reasoning: A&S Curriculum
(QS) Quantitative Studies
Prerequisites
Corequisite: STA 323L, and Prerequisite: STA 221L, 325L, or 521L
Curriculum Codes
- QC
- QS