MATH 540 - Statistics for Data Science

3 Credits

Statistical modeling and inference. Correct application of statistical tests by understanding of relevant definitions, theorems, and assumptions regarding data and probability distributions. Focus on applications using current statistical software and programming languages. Models studied include: linear, high-dimensional, non-linear, bayesian.

Prerequisites
Admitted to MS program in Data Science or consent of instructor

When Offered
Every Spring
Repeatable
No

Click here for the Fall 2025 Class Schedule

Click here for the Spring 2026 Class Schedule

Click here for the Summer 2026 Class Schedule