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Graduate Record 2023-2024 [ARCHIVED RECORD]
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STAT 6021 - Linear Models for Data Science
Effective Start Date: 07/09/2014
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
Grading Basis: Student Option
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