DATA503

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Applied Regression Analysis

Mathematics & Computer Science Caspersen School of Graduate Studies

Course Subject Code

DATA

Course Number

503

Status

Active

Course Attributes

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Course Short Title

Applied Regression Analysis

Course Long Title

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Course Description

Undertakes in-depth study of the theory and practice of regression, one of the most commonly used techniques in the data scientist’s toolkit. Covers methods of regression analysis including simple and multiple regression, explanation, prediction, diagnostics, model selection, and models with categorical predictors. Uses the software package R extensively in labs and assignments and prepares students for the subsequent use of R in other classes throughout the program.

Min

3

Repeatable

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Equivalent Course(s)

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