 |
Applied Analytics Using SAS Enterprise Miner 5
Unit of Training: COURSEDescription:
This course serves as an introduction to data mining and SAS Enterprise Miner software. It is designed for data analysts and quantitative experts who seek an understanding of the analytic capabilities of SAS Enterprise Miner 5.2.This course covers the basic skills required to assemble analyses 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). The course includes completed case studies from the fields of database marketing, financial services, Web analytics, and higher education.
You can choose to practice the skills you learn in a simulated SAS Enterprise Miner environment. If you select this method, you must have the latest version of Macromedia Flash Player installed. If you want to use real data and practice in your own SAS Enterprise Miner environment, you must have SAS Enterprise Miner 5.2 software installed and viewable on the same machine that displays the training.
Prerequisites: Before taking this course, you should be acquainted with Microsoft Windows and Windows-based 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 necessary.
Level of Difficulty: Intermediate
Approximate Duration: 13.0 hours
License Period: 365 days
SAS Products and Releases:
Browser Requirements
You must use Internet Explorer 6.0 or later or Firefox 1.5 or later, with JavaScript and cookies enabled.
ISBN: 978-1-59994-472-2*
ISBN-10: *
* Note: ISBNs have changed from 10 to 13 digits. To form the 13-digit ISBN, a prefix of "978" is added and the last digit is changed.
|