To register, go to www.odum.unc.edu/datamatters

This short course will cover basic ideas and methods in machine learning and data mining with applications to data analytics. Topics covered will include visualization of high-dimensional data, classification and regression models, methods for clustering data, variable selection, and text/document mining tools. The focus in the lectures will be on general concepts and principles illustrated by applied examples. The lab component will offer hands on programming in R for data analysis of real world problems in social sciences, business and health applications. The lecture notes will include extra worked examples and tutorials with data and scripts that can be used outside the class.

**Cancellation Policy The following refund policy will apply in the event of cancellations:

• Full refunds, less a 33% cancellation fee, will be issued for any course enrollments canceled by you before May 14, 2014.

• Full refunds, less a 50% cancellation fee, will be issued for any course enrollments canceled by you between May 14, 2014 and June 15, 2014.

• Full refunds, less a 75% cancellation fee, will be issued for any course enrollments canceled by you after June 15, 2014.

• Prior to the event start date, if we cannot accommodate you in a course you registered for, we can issue a credit toward any UNC Odum Institute course (except for ICPSR courses) or issue you a full refund for the course. Credits must be used by September 30, 2014.