ADMN 872 (02) - Predictive Analytics

Predictive Analytics

Durham Paul College of Business&Econ::Administration
Online Course Delivery Method: Online Asynchronous
Credits: 3.0
Class Size: 39 
Term:  Fall 2024 - Term 2 (10/28/2024 - 12/20/2024)
CRN:  12666
Grade Mode:  Letter Grading
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 with minimum grade of B-
Only listed majors in section: ANALYT DS CERT:: Introduction to Data Science||ANALYTICS:: Analytics||ANALYTICS CERT:: Analytics||ANALYTICS PP:: Analytics||BUSINESS ADM M:: Business Administration||BUSINESS ADM OL:: Business Administration||BUSINESS ADM PT:: Business Administration||BUSINESS ADMIN:: Business Administration
Instructors:  Burcu Eke Rubini

Times & Locations

Start Date End Date Days Time Location
10/28/2024 12/20/2024 Hours Arranged ONLINE