MATH 17639 Data Analysis

This course is designed to explain what data mining is all about and show how to use data mining techniques effectively in practice.  It will be a practical, hands-on introduction to the statistical methods based on case studies.  It provides an introduction and encouragement for more advanced work on real big data.  Although the mathematics behind the methodologies used will be explained, the focus will be on the practical issues of getting results out of data mining.  Some knowledge of statistical modeling, especially regression techniques will be useful.  Prerequisites: MATH 17114 or consent of instructor.  (Spring, second year)

Credits

4