Handbook

A critical aspect of analytics is to generate predictions which are used as inputs into decision making. Predictive analytics applies statistical models and machine learning methods to data to give insight into potential futures. This course exposes students to predictive analytics methods to develop students’ ability to use analytics to drive decision making. To develop these skills, students will learn predictive analytics methodological theory (e.g., linear and logistic regression, classification and regression trees, and neural networks). Students will then build and interpret a variety of predictive models to analyse data describing problems with real-world relevance. Emphasis will be placed on using predictive analytics robustly to create value.