Applied Analytics Using SAS Enterprise Miner

Duration: 24 hoursThis course covers the skills 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).

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

Prerequisites:

Before attending this course, you should be acquainted with Microsoft Windows and Windows-based 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.