This course covers the skills that are required to assemble analysis flow diagrams using the rich tool set of SAS Enterprise Miner for both pattern discovery (segmentation, association, and sequence analyses) and predictive modeling (decision tree, regression, and neural network models). This course is appropriate for SAS Enterprise Miner 5.3 up to 15.1.

• Define a SAS Enterprise Miner project and explore data graphically.

• Modify data for better analysis results.

• Build and understand predictive models such as decision trees and regression models.

• Compare and explain complex models.

• Generate and use score code.

• Apply association and sequence discovery to transaction data.

Module 1: Introduction

Module 2: Accessing and Assaying Prepared Data

Module 3: Introduction to Predictive Modeling: Predictive Modeling Fundamentals and Decision Trees

Module 4: Introduction to Predictive Modeling: Regressions

Module 5: Introduction to Predictive Modeling: Neural Networks and Other Modeling Tools

Module 6: Model Assessment

Module 7: Model Implementation

Module 8: Introduction to Pattern Discovery

Module 9: Special Topics

Module 10: Case Studies

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