Applied Analytics Using SAS Enterprise Miner 5

Zagreb, 7th – 9th May 2008
This course provides extensive hands-on experience with SAS Enterprise Miner. It 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.
Learn how to
- define a SAS Enterprise Miner 5 project and explore data graphically
- apply association and sequence discovery to transaction data
- modify data for better analysis results
- understand predictive modeling results and regression modeling output
- compare and explain complex models
- generate and use score code.
Who should attend
Data analysts, qualitative experts, and others who want an introduction to SAS Enterprise Miner
