Top/Predic Analyt:Regres Model
Durham
Paul College of Business&Econ :: Decision Sciences
Credits: 4.0
Term: Fall 2021 - Full Term (08/30/2021 - 12/13/2021)
Grade Mode: Letter Grading
Term: Fall 2021 - Full Term (08/30/2021 - 12/13/2021)
Grade Mode: Letter Grading
Class Size:
30
CRN: 16711
CRN: 16711
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
Department Approval Required. Contact Academic Department for permission then register through Webcat.
Repeat Rule: May be repeated for a maximum of 8 credits.
Only listed campus in section: Durham
Classes not allowed in section: Freshman
Instructors: Gorkem Turgut (G.T.) Ozer
Times & Locations
| Start Date | End Date | Days | Time | Location |
|---|---|---|---|---|
| 8/30/2021 | 12/13/2021 | W | 5:10pm - 8:00pm | PCBE 235 |
Additional Course Details:
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.