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DSC X82 DSC 382  Foundations of Regression and Predictive Modeling  3 Hours

3 Lecture Hours  0 Lab Hours  
Introduction to the basics of regression-based modeling. Explore simple and multiple regression, interpretation of models and coefficients, prediction and estimates, regularization processes, and generalized linear models. The equivalent of three lecture hours a week for one semester.
Pre/Corequisites: Graduate standing and Data Science 381.  
Grading: Student Option  
Repeatable for credit: No  
Academic Level: Master's