This course provides an overview of data and text mining techniques, along with visualization methods, giving students a strong foundation in these methodologies. The topics covered include regression and classification analysis, association rules mining algorithms, variable reduction techniques, data clustering, and text mining. In addition, students will learn key visualization techniques for the presentation of different types of data and how to construct visualizations using the free programming language R.
PRQ: CSCI 170 and MATH 223 or permission by instructor
Scheduled: Spring, as needed
Meets: NO