There is a new version of this course. Please see Applied Analytics Using SAS® Enterprise Miner™.
This course is appropriate for SAS Enterprise Miner from release 5.3 up to 14.2. The 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).
Lernen Sie, wie Sie / 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.
Zielgruppe / Who should attend
Data analysts, qualitative experts, and others who want an introduction to SAS Enterprise Miner
Verfügbare Schulungsformen / Formats available | Dauer | | |
Präsenzkurs: |
3.0 Tage | | |
|
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.
In diesem Kurs wird mit folgenden Software Modulen gearbeitet: SAS Enterprise Miner Software
