Thomas Edison State University | Graduate Courses & Schedules

DSI-606 Predictive Analytics 3 - Dimension Reduction, Clustering, and Association Rules with R

In this course, students will cover key unsupervised learning techniques: association rules, principal components analysis, and clustering. Predictive Analytics 3 will include an integration of supervised and unsupervised learning techniques. The course includes hands-on work with R, a free software environment with capabilities for statistical computing. Graduate students enrolled in this course will complete a project/assignment that engages in higher levels of thought and creativity, requiring them to demonstrate knowledge at more advanced taxonomical levels.

Credits: 3

Please contact the schools for availability.