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Workday HCM Demo New Batches Starting from Wednesday... 26-07-2017
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SAS Enterprise Miner  Online Training

SAS Enterprise Miner


SAS Enterprise Miner streamlines the data mining process to create highly accurate predictive and descriptive models based on analysis of vast amounts of data from across an enterprise.
  • Attendies should have at least an introductory-level familiarity with basic statistics and regression modeling
  • It is a 12 days program and extends up to 2hrs each.
  • The format is 40% theory, 60% Hands-on.

  • It is a 3 days program and extends up to 8hrs each.
  • The format is 40% theory, 60% Hands-on.
    Private Classroom arranged on request and minimum attendies for batch is 4.
course content
  • Introduction
    • introduction to SAS Enterprise Miner
  • Accessing and Assaying Prepared Data
    • creating a SAS Enterprise Miner project, library, and diagram
    • defining a data source
    • exploring a data source
  • Introduction to Predictive Modeling: Predictive Modeling Fundamentals and Decision Trees
    • cultivating decision trees
    • optimizing the complexity of decision trees
    • understanding additional diagnostic tools
    • autonomous tree growth options
  • Introduction to Predictive Modeling: Regressions
    • selecting regression inputs
    • optimizing regression complexity
    • interpreting regression models
    • transforming inputs
    • categorical inputs
    • polynomial regressions
  • Introduction to Predictive Modeling: Neural Networks and Other Modeling Tools
    • introduction to neural network models
    • input selection
    • stopped training
    • other modeling tools
  • Model Assessment
    • model fit statistics
    • statistical graphics
    • adjusting for separate sampling
    • profit matrices
  • Model Implementation
    • internally scored data sets
    • score code modules
  • Introduction to Pattern Discovery
    • cluster analysis
    • market basket analysis
  • Special Topics
    • ensemble models
    • variable selection
    • categorical input consolidation
    • surrogate models
    • SAS Rapid Predictive Modeler
  • Case Studies
    • banking segmentation case study
    • website usage associations case study
    • credit risk case study
    • enrollment management case study
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