Predictive Modeling Using SAS Enterprise Miner 5.1

Duration: 3.0 days

Audience

This Level III course is the foundation for further courses in the data mining curriculum. It is designed to give data analysts the necessary skills to build successful predictive models using SAS Enterprise Miner 5 in SAS 9.

Course Description

This course illustrates methods for overcoming common data mining challenges on actual business data. Course topics include optimizing predictive decisions, comparing predictive models, deploying predictive models, constructing and tuning multi-layer perceptrons (neural network models), and constructing and adjusting tree models.

Prerequisites

Before attending this course, you should

be familiar with simple regression modeling concepts
have some experience with creating and managing SAS data sets, which you can gain from the Introduction to Programming Concepts Using SAS Software or the SAS Programming I: Essentials course.

Course Contents

Introduction to Predictive Modeling

formulating an analysis objective
preparing an Enterprise Miner project
constructing a simple predictive model
adjusting predictions
optimizing predictive decisions
tuning a regression model
comparing predictive models
deploying predictive models

Parametric Models

enhancing logistic regression models
constructing multilayer perceptrons
tuning multilayer perceptrons
using alternative parametric models

Predictive Algorithms

constructing tree models
adjusting tree models
aggregating tree models

Software Addressed

This course addresses the following software product(s): SAS Enterprise Miner.

Course Materials

You receive Predictive Modeling Using SAS Enterprise Miner 5.1 Course Notes.

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