Durham
Paul College of Business&Econ :: Administration
ADMN 872 (02) - Predictive Analytics
Predictive Analytics
Online Course Delivery Method: Online Asynchronous
Credits: 3.0
Term: Fall 2024 - Term 2 (10/28/2024 - 12/20/2024)
Grade Mode: Letter Grading
Term: Fall 2024 - Term 2 (10/28/2024 - 12/20/2024)
Grade Mode: Letter Grading
Class Size:
39
CRN: 12666
CRN: 12666
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.
Prerequisite(s): ADMN 950 with minimum grade of B-
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: Burcu Eke Rubini
Start Date | End Date | Days | Time | Location |
---|---|---|---|---|
10/28/2024 | 12/20/2024 | Hours Arranged | ONLINE |