MPH 704 - Predictive Data Analysis

3 Credit Hours
Healthcare data in multiple formats were collected daily for the ultimate purpose of better patient care and reducing cost. The volume and variety of data accumulated in the healthcare industry call for effective analytics tools that can extract insightful information from the data to leverage business and medical decisions. Predictive analytics involves the processes of developing statistical models to predict outcomes from future data by building validated mathematical relationships between variables from existing data. (Prerequisites: MPH 701, MPH 703)

This course introduces the techniques of predictive analytics in the context of a healthcare environment. The aim is to provide students with the highly demanded skills in data analytics and data mining by training them on how to move from data collection to data analysis and how to use data as the basis to predict future outcomes. Topics to be covered include formulating a hypothesis, examining data structure, selecting data, determining and designing appropriate statistical models, evaluating the models and interpreting the results.
Prerequisites

MPH 701
MPH 703