STAT 708 - Linear Models for Data Science

When Offered: F, S, SS

3 Credit(s)
The course introduces principles and methods of least squares regression and design of experiments that are used to solve data science problems. Least squares regression covers simple and multiple linear regression, including estimation, inference, model building and variable selection. Design of experiments introduces statistically designed experiments and related analytical methods. The course utilizes statistical programming language such as R, SAS, and/or Python.

Prerequisite(s): STAT 707 or permission of instructor