Predictive Analytics
Durham
Paul College of Business&Econ :: Administration
Credits: 3.0
Term: Spring 2020 - E-term IV (03/16/2020 - 05/07/2020)
Grade Mode: Letter Grading
Term: Spring 2020 - E-term IV (03/16/2020 - 05/07/2020)
Grade Mode: Letter Grading
Class Size:
30
CRN: 56418
CRN: 56418
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 programs in section: Business Administration MBA, Business Analytics Cert
Instructors: STAFF
Times & Locations
Start Date | End Date | Days | Time | Location |
---|---|---|---|---|
3/16/2020 | 5/7/2020 | T | 5:40pm - 9:15pm | PCBE 215 |