Information Analytics

Information Analytics

This course introduces analytical techniques to deal with very large data sets. Students will become familiar with predictive modeling, clustering, data mining, and paradigms such as map resource.

Class Name Information Analytics
Host School The University of North Carolina at Chapel Hill
Class Identifier INLS 625
Credit Value 3 Credit Hours
Faculty Rajasekar
Course Tool (Online) Sakai - Customized
Class Description This course introduces analytical techniques to deal with very large data sets. Students will become familiar with predictive modeling, clustering, data mining, and paradigms such as map resource.
Class Disclaimer None
Delivery Asynchronous
Start and End Date August 22nd, 2017 - December 6th, 2017
Start and End Time
(if synchronous)
Days of Week
(of class meetings, if synchronous)
Last Add Day August 28th, 2017
Residency Start and End Date No Residency