This 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). This course is appropriate for SAS Enterprise Miner 5.3 up to 15.1.
SAS-AAEM51 | Applied Analytics Using SAS Enterprise Miner
S$3,080 3 days SAS-AAEM51
Course Overview
Who Should Attend
Data analysts, qualitative experts, and others who want an introduction to SAS Enterprise Miner
Learning Outcomes
• 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.
Course Outline Course Outline (PDF)
Module 1: Introduction
Module 2: Accessing and Assaying Prepared Data
Module 3: Introduction to Predictive Modeling: Predictive Modeling Fundamentals and Decision Trees
Module 4: Introduction to Predictive Modeling: Regressions
Module 5: Introduction to Predictive Modeling: Neural Networks and Other Modeling Tools
Module 6: Model Assessment
Module 7: Model Implementation
Module 8: Introduction to Pattern Discovery
Module 9: Special Topics
Module 10: Case Studies
Class Schedule 2026
Click any date to enquire or enrol · Dates subject to changeJan
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Apr
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May
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Dec
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