ADMN 872 (2ON) - Predictive Analytics

Predictive Analytics

Durham   Paul College of Business&Econ :: Administration
Course Delivery Method: Online (no campus visits), EUNH
Credits: 3.0
Term: Fall 2021 - E-term II (10/18/2021 - 12/14/2021)
Grade Mode: Letter Grading
Class Size:   40  
CRN: 14455
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.
You must sign up in the Dept Office before registering through WEBCAT.
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

Times & Locations

Start Date End Date Days Time Location
10/18/2021 12/14/2021 Hours Arranged ONLINE