Apr 21, 2024  
Graduate Record 2020-2021 
    
Graduate Record 2020-2021 [ARCHIVED RECORD]

STAT 6021 - Linear Models for Data Science


An introduction to linear statistical models in the context of data science. Topics include simple and multiple linear regression, generalized linear models, time series, analysis of covariance, tree-based classification, and principal components. The primary software is R. Prerequisite: A previous statistics course, a previous linear algebra course, and permission of instructor.



Credits: 3