Predictive Analytics
Durham
Paul College of Business&Econ :: Administration
Online Course Delivery Method: Scheduled meeting time, EUNH
Credits: 3.0
Term: Spring 2022 - E-term IV (03/21/2022 - 05/12/2022)
Grade Mode: Letter Grading
Term: Spring 2022 - E-term IV (03/21/2022 - 05/12/2022)
Grade Mode: Letter Grading
Class Size:
30
CRN: 54093
CRN: 54093
This course will focus on modern predictive analytic techniques. Each module is designed to introduce a set of statistical techniques and their application to real data from various business fields. The course will focus on 4 broad topics 1) Finding the most appropriate model for the data, 2) selecting optimal set of predictors, 3) reducing dimensionality of the data, 4)improving prediction performance. Programming using R, open source software, is fundamental to the course. Prereq: ADMN 950 or permission.
Department Approval Required. Contact Academic Department for permission then register through Webcat.
Mutual Exclusion : DATA 822
Only listed programs in section: Business Administration MBA, Business Analytics Cert
Instructors: Gorkem Turgut (G.T.) Ozer
Times & Locations
| Start Date | End Date | Days | Time | Location |
|---|---|---|---|---|
| 3/21/2022 | 5/12/2022 | T | 5:40pm - 9:15pm | ONLINE |