Top/Predic Analyt:Regres Model
Durham
Paul College of Business&Econ :: Decision Sciences
Credits: 4.0
Term: Fall 2022 - Full Term (08/29/2022 - 12/12/2022)
Grade Mode: Letter Grading
Term: Fall 2022 - Full Term (08/29/2022 - 12/12/2022)
Grade Mode: Letter Grading
Class Size:
27
CRN: 15394
CRN: 15394
Introduces students to commonly used predictive analytics techniques and necessary programming with focus on regression analysis and model building. The course coverage is supported with 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 clustering algorithms.
Section Comments: Full Title: Predictive Analytics: Regression Modelling
Registration Approval Required. Contact Instructor or Academic Department for permission then register through Webcat.
Repeat Rule: May be repeated for a maximum of 8 credits.
Classes not allowed in section: Freshman
Instructors: Gorkem Turgut (G.T.) Ozer
Times & Locations
Start Date | End Date | Days | Time | Location |
---|---|---|---|---|
8/29/2022 | 12/12/2022 | W | 5:10pm - 8:00pm | PCBE 235 |