Introduction to Applying Data Mining Techniques Using SAS Enterprise Miner

Duration: 4.0 hours

Audience

This course serves as an introduction to data mining and Enterprise Miner software. It is designed for data analysts and qualitative experts as well as those with less of a technical background who want a general understanding of data mining.

Course Description

This course covers the basic skills required to assemble analyses using the rich tool set of Enterprise Miner. The course also covers concepts fundamental to understanding and successfully applying data mining methods.

Prerequisites

Before attending this course, you should be familiar with Microsoft Windows and Windows-based software. Previous SAS software experience is helpful but not necessary.

Course Contents

Introduction to Data Mining

discussing some of the history of data mining
defining data mining and its uses
examining the SAS approach to data mining

Introduction to SAS Enterprise Miner

introducing the tools available in Enterprise Miner
exploring the workspace components
setting up projects and diagrams
conducting initial data exploration

Predictive Modeling

discussing some data difficulties and pitfalls in data mining
examining the functionality of modeling nodes in Enterprise Miner
constructing decision trees using a banking example
comparing candidate models

Software Addressed

This course addresses the following software product(s): SAS Enterprise Miner. This course is appropriate for students who are using SAS Enterprise Miner Release 5.1.

Course Materials

You receive Introduction to Applying Data Mining Techniques Using SAS Enterprise Miner Course Notes.

Share Your Thoughts

Are there additional topics you'd like for this course to address? Would you like for this course to be offered at another training facility? Let us know by adding to our Interest List.

This page was created using SAS software.