Predictive Analytics for Health Data

Building on the Statistical Analysis for Health Data course, this course presents an overview of the basic concepts and techniques in predictive analytics as applied to health data. Techniques covered in this course include decision trees, classification rules, association rules, clustering, support vector machines, instance-based learning. Examples and cases are discussed to gain hands-on experience.        

Note: Check with the institution regarding start/end dates, prices, and delivery method. These may vary according to program, section, and/or semester.