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 the current release.
Learn How To
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.
Who Should Attend
Data analysts, qualitative experts, and others who want an introduction to SAS Enterprise Miner
Before attending this course, you should be acquainted with Microsoft Windows and Windows software. In addition, you should have at least an introductory-level familiarity with basic statistics and regression modeling. Previous SAS software experience is helpful but not required.
SAS Products Covered
SAS Enterprise Miner
Introduction to SAS Enterprise Miner.
Accessing and Assaying Prepared Data
Creating a SAS Enterprise Miner project, library, and diagram.
Defining a data source.
Exploring a data source.
Introduction to Predictive Modeling: Predictive Modeling Fundamentals and Decision Trees