This outline is provisional and subject to change.
This short course provides an introduction on how to use SAS Enterprise Miner for pattern discovery and predictive modeling.
Please note: This is a taster course providing an overview of the listed SAS tool(s) and capabilities. For more comprehensive training, please consider the Applied Analytics Using SAS Enterprise Miner course. Attendees who complete this short course and wish to complete the associated comprehensive training may be eligible for a discount.
Learn how to
- define a SAS Enterprise Miner project and explore data graphically
- use basic forms of predictive models such as decision trees and regression models
- assess and compare models
- generate and use score code
This outline is provisional and subject to change.
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.
This outline is provisional and subject to change.
Introduction- 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: Overview of Basic Models - introduction
- Decision Tree
- Regression
- Neural Nets
- Model Comparison
Model Implementation - internally scored datasets
