At the end of the course, the student should be able to:
° spot complex problems to propose innovative solutions by transforming customer data using actionable predictive analysis.
° develop an expertise to use customer data him- or herself to improve the customer relationships through predictive modeling.
° manage successfully customer relationship.
° Breakdown complex organizational problems using the appropriate methodology (LO3.A)
° Propose creative solutions within an organization (LO3.B)
° Demonstrate an expertise on key concepts, techniques and trends in their professional field (LO7.A)
° Be a reference point for expertise-related questions and ambiguities (LO7.D)
This course introduces students to the basic principles of predictive analytics. This hands-on course introduces students how to use past information to predict future customer information.
A detailed overview of the course content is given below.
• Introduction to Predictive Analytics
• Understanding basic concepts and recognizing possible business applications
• Explaining the predictive modeling approach: Sample, Explore, Modify, Model and Assess
• Acknowledgment of the importance of data pre-processing
• Introduction to the most popular predictive modeling applications
• Understanding of the most popular evaluation metrics
