DS 772 (01) - Predictive Analytics and Modeling

Predictive Analytics&Modeling

Durham   Paul College of Business&Econ :: Decision Sciences
Credits: 4.0
Term: Spring 2024 - Full Term (01/23/2024 - 05/06/2024)
Grade Mode: Letter Grading
Class Size:   30  
CRN: 56188
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.
Registration Approval Required. Contact Instructor or Academic Department for permission then register through Webcat.
Prerequisite(s): ADMN 510
Cross listed with : DS 898.01
Only listed campus in section: Durham
Only listed colleges in section: Paul College of Business&Econ
Only listed classes in section: Junior, Senior

Times & Locations

Start Date End Date Days Time Location
1/23/2024 5/6/2024 T 5:10pm - 8:00pm PCBE 185
Final Exam 5/14/2024 5/14/2024 T 6:00pm - 8:00pm PCBE 185