MAA 506 - Predictive Analytics

Course unit(s): 1
This course explores a variety of statistical techniques useful in making predictions about future events. The culmination of the course will lead students to employ predictive analytics to assist in decision making and transforming statistics into useful prescriptive analytics. The course will cover the use of statistical software to process data, fit statistical models, and assess the models' performance. Statistical models will include Linear & Non-Linear Regression Analysis with a focus on forecasting. Examples of models that will be covered include Logit & Probit Regression, Ordinal Regression, Survival Analysis (time to event and hazard rate), Data Segmentation, and Time Series Analysis. The course culminates in a predictive analysis on a topic of the student's choice and requires multiple iterations of model forms, model testing, and awareness of the path for possible future model improvements.

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