DATA 785 - Predictive Modeling

3 Credits
This course covers statistical modeling in the use of statistical methods to develop models that can be used for predicting future numerical or categorical outcomes in processes for disciplines ranging from business to science. The philosophy of modeling as well as common modeling methods and model adequacy assessment procedures are covered. Industry standard software is used to prepare data, develop and assess models, obtain predictions, and present results. The main thrust of the course is on the application of predictive modeling rather than the theory behind it. Selected projects will be used to provide hands-on experience with the various steps involved in modeling and predicting.

Prerequisite(s): DATA 772
Course Learning Outcomes:
1. Analyze a problem statement to select an appropriate model.
2. Manipulate data using industry standard software.
3. Develop predictive models.
4. Perform predictions with a finished model.
5. Recommend strategies for maintaining and/or updating a finished model.