Predictive Analytics
Durham
Paul College of Business&Econ :: Administration
Online Course Delivery Method: Online (no campus visits), EUNH
Credits: 3.0
Term: Fall 2023 - Term 2 (10/30/2023 - 12/22/2023)
Grade Mode: Letter Grading
Term: Fall 2023 - Term 2 (10/30/2023 - 12/22/2023)
Grade Mode: Letter Grading
Class Size:
39
CRN: 13191
CRN: 13191
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.
Registration Approval Required. Contact Instructor or Academic Department for permission then register through Webcat.
Prerequisite(s): ADMN 950
Mutual Exclusion : DATA 822
Only listed majors in section: ANALYT DS CERT, ANALYTICS, ANALYTICS CERT, ANALYTICS PP, BUSINESS ADM M, BUSINESS ADM OL, BUSINESS ADM PT, BUSINESS ADMIN
Instructors: Cristi Guevara
Times & Locations
Start Date | End Date | Days | Time | Location |
---|---|---|---|---|
10/30/2023 | 12/22/2023 | Hours Arranged | ONLINE |