Learning Data Mining with SAS

This course covers the introductory skills that are required to assemble analysis flow diagrams using the rich tool set of SAS Enterprise Miner for predictive modeling (decision tree, regression, and neural network models).Please note: This is a taster course providing an overview of the listed SAS tool(s) and capabilities.For a detailed course attend : Applied Analytics Using SAS® Enterprise Miner™ at https://support.sas.com/edu/schedules.html?id=13084&ctry=USAttendees who complete this short course and wish to complete the associated comprehensive training may be eligible for a discount.

• 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

Formats available	Duration
Live Web Classroom:	1 half-day session(s)

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.

• Introduction to SAS Enterprise Miner.

• Creating a SAS Enterprise Miner project, library, and diagram.
• Defining a data source.
• Exploring a data source.

• Introduction.
• Decision Tree
• Regression
• Neural Nets
• Model Comparison

• Internally scored datasets.