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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Course Restrictions
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Equivalent Course(s)
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