ADMN 872 (02) - Predictive Analytics

Predictive Analytics

Durham   Paul College of Business&Econ :: Administration
Online Course Delivery Method: Online Asynchronous
Credits: 3.0
Term: Fall 2024 - Term 2 (10/28/2024 - 12/20/2024)
Grade Mode: Letter Grading
Class Size:   39  
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: STAFF

Times & Locations

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