Predictive Analytics&Modeling
Durham
Paul College of Business&Econ::Decision Sciences
Credits: 4.0
Class Size: 30
Term:
Spring 2025
-
Full Term (01/21/2025
-
05/05/2025)
CRN:
54414
Grade Mode:
Letter Grading
The course introduces students to commonly used predictive analytics methods and necessary programming with a focus on regression analysis, classification, and model building. The course coverage is supported using real data applications and illustrations. The topics include linear and non-linear regression model building/selection, residual analysis, search algorithms, generalized linear models/classification, and applied machine learning methods for business use.
Prerequisite(s): ADMN 510 with minimum grade of C-
Only listed campus in section: Durham
Only listed colleges in section: Paul College of Business&Econ
Only listed classes in section: Junior, Senior
Only listed majors in section:
BUSADM:INFSYSAN:: Business Administration: Information Systems and Business Analytics
Instructors:
Gorkem Turgut (G.T.) Ozer
Times & Locations
| Start Date | End Date | Days | Time | Location |
|---|---|---|---|---|
| 1/21/2025 | 5/5/2025 | T | 5:10pm - 8:00pm | PCBE 235 |
