This course focuses on two categories of methods in Data Analysis, grouping/cluster analysis and regression/interpolation. Students use Python to implement these techniques. While studying cluster analysis, students focus on (1) connections that can be visualized by graph or network and analyzing connections with spectral analysis and (2) projecting data in order to visualize, using Principal Component Analysis. In either case, students must determine the appropriateness of using the respective technique, clean the data, visualize the data and interpret their results. Achieves technology student learning outcomes c, d, and e.

View MTH 2300 in the Academic Catalog

Approved for Data Intensive Course Designation starting Spring 2024.