Upon successful completion of the course, the student should:

•	Understand the conceptual foundations of relevant 
        predictive analytics methodologies.
•	Be able to access the appropriateness of analytical 
        methods for different applications.
•	Understand the benefits provided by predictive 
        analytics in managerial decision making.
•	Have gained hands-on analytical application skills 
        utilizing relevant software.
•	Be able to properly interpret and communicate 
        methodological results.

Metric fundamentals
Econometric forecasting methods
Segmentation, positioning, and targeting
Conjoint and choice analysis
Decision trees
Resource allocation methodologies
Simulation and risk analysis