Information Analytics

Information Analytics

The data explosion experienced by computerization of every aspect of our lives from social media to internet of things requires a deeper look at information analytics. The course introduces proven and emerging analytical techniques that can be used to deal with mountains of mostly unstructured data. We will look at several analytical paradigms from Predictive Modeling to Data Mining, Text Analytics to Web Analytics, Statistical Analysis to novel paradigms in Map Reduce and Storm, and from Crowd Sourcing to Scientific Workflows. Knowledge of programming is essential.

Class Name Information Analytics
Host School The University of North Carolina at Chapel Hill
Class Identifier 690
Credit Value 3 Credit Hours
Faculty Rajasekar
Course Tool (Online) Sakai - Customized
Class Description The data explosion experienced by computerization of every aspect of our lives from social media to internet of things requires a deeper look at information analytics. The course introduces proven and emerging analytical techniques that can be used to deal with mountains of mostly unstructured data. We will look at several analytical paradigms from Predictive Modeling to Data Mining, Text Analytics to Web Analytics, Statistical Analysis to novel paradigms in Map Reduce and Storm, and from Crowd Sourcing to Scientific Workflows. Knowledge of programming is essential.
Class Disclaimer Some knowledge of programming for LIS professionals is recommended.
Delivery Asynchronous
Start and End Date August 23rd, 2016 - December 7th, 2016
Start and End Time
(if synchronous)
Days of Week
(of class meetings, if synchronous)
Last Add Day August 29th, 2016
Residency Start and End Date No Residency