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.
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
Who should attend:
  • Data analysts
  • Aualitative experts, and others who want an introduction to SAS Enterprise Miner
  • 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.
The fees is inclusive of
  • Fee: ₹45,000+GST | Duration: 24 Hours
  • Training & Digital Badge
  • Course material
  • 2 attempts of Global certification
Download Course Curriculum Here


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