DS 720 (01) - Topics in Decision Sciences II

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
Class Size:   30  
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
You must sign up in the Dept Office before registering 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

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.