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.
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.
This course addresses SAS Enterprise Miner software.
Who should attend
Data analysts, qualitative experts, and others who want an introduction to SAS Enterprise Miner
Introduction
Accessing and Assaying Prepared Data
Introduction to Predictive Modeling: Predictive Modeling Fundamentals and Decision Trees
Introduction to Predictive Modeling: Regressions
Introduction to Predictive Modeling: Neural Networks and Other Modeling Tools
Model Assessment
Model Implementation
Introduction to Pattern Discovery
Special Topics
Case Studies
Join our public courses in our Germany facilities. Private class trainings will be organized at the location of your preference, according to your schedule.