BNAN565
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BNAN565 - Regression and Analytics Models
Course ID
043843
Course Description
Model building from data is a foundational part of analytics. This course gives a rigorous introduction into the regression model alongside related topics. After examining distributions for modeling data, hypothesis testing, and correlation, the course focuses on the modeling process. The course concludes with an introduction to modeling binary categorical outcomes through logistic regression. Although mathematical matrices and theory are included, the emphasis is on learning to construct business models from data. Computations will be completed using current software packages.
Min Units
3
Max Units
3
Repeatable for Credit
No
Grading Basis
GRD - Regular Grades A, B, C, D, E
Career
Graduate
Enrollment Requirements
019746
Component
Lecture
Optional Component
No