ADMN 872 (2ON) - Predictive Analytics

Predictive Analytics

Durham   Paul College of Business&Econ > Administration
Credits: 3.0
Term: Fall 2019 - E-term II (10/14/2019 - 12/10/2019)
Class Size:   40  
CRN: 17316
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.
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
Attributes: Online (no campus visits), EUNH
Instructors: Burcu Eke Rubini

Times & Locations

Start Date End Date Days Time Location
10/14/2019 12/10/2019 Hours Arranged ONLINE