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Get access to course recordings up to 20 business days.
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Audio Requirements:

You should have working speakers, so that you can listen properly.
You should have working mics, so that you can interact with trainers.
We recommend to have Headphones with mics.

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System Requirements:

Internet Explorer 9, Mozilla Firefox 34, Google Chrome 39 (JavaScript enabled) or the latest version of each web browser.
Windows 7, Windows 8 or later.
Cable modem, DSL, or better Internet connection.
Internet bandwidth 2 mbps(recommended).
Dual-core 2.4GHz CPU or faster with 2GB of RAM (recommended).

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SAS Certified Predictive Modeler 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).

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.

Who should attend?

Data analysts
Aualitative experts, and others who want an introduction to SAS Enterprise Miner

Prerequisites:

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.

Course Outline:

Introduction
Accessing and Assaying Prepared Data
Introduction to Predictive Modeling: Predictive Modeling Fundamentals and Decision Trees
Introduction to Predictive Modeling: Regressions
Introduction to Predictive Modeling: Neural Networks and Other Modeling Tools
Model Assessment
Model Implementation
Introduction to Pattern Discovery
Special Topics
Case Studies