ISYS312U

Explores concepts in data management, processing, statistical computing, and dynamic visualization. The purpose of predictive modeling is to be able to predict the behavior of new data. Participants are introduced to managing and analyzing data for purposes of extracting useful information and providing actionable forecasting. Activities include importing and exporting, cleaning and fusing, modeling, analyzing and synthesizing complex datasets using data analytics techniques. Linear regression is used to build models for predicting responses.