DAM 702 - Predictive Analytics for Bus Intelligenc

Institution:

Thomas Edison State University

Subject:

Data Mining

Description:

This course is intended for business students with these goals: 1) To provide the key methods of predictive analytics and advanced BI concepts; 2) To provide business decision-making context for these methods; 3) Using real business cases, to illustrate the application and interpretation of these methods. The course will cover R Programming, trends in predictive analytics, and understanding available application programs that can be deployed within the business enterprise.

Credits:

3.00

Credit Hours:

Prerequisites:

Corequisites:

Exclusions:

Level:

Instructional Type:

Lecture

Notes:

Additional Information:

Historical Version(s):

Institution Website:

www.tesu.edu

Phone Number:

(609) 984-1100

Regional Accreditation:

Middle States Association of Colleges and Schools

Calendar System:

Semester

The Course Profile information is provided and updated by third parties including the respective institutions. While the institutions are able to update their information at any time, the information is not independently validated, and no party associated with this website can accept responsibility for its accuracy.