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  • Phone: 9960935600 / 9960 935 965
  • Email:info@aspireit.net
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  • Phone: 8421 935 965
  • Email:enquiry@aspireit.net

Training Structure

Live Web


  • Get trained by experts.
  • Attend classes from anywhere right from your computer.
  • Get all the benefits of classroom training.
  • Get access to course recordings up to 20 business days.
  • Access to latest software for hands-on.
  • Live interaction with trainers & trainees of different locations.

    Live Web

    Audio Requirements:

    • You should have working speakers, so that you can listen properly.
    • You should have working mics, so that you can interact with trainers.
    • We recommend to have Headphones with mics.

    Live Web

    System Requirements:

    • Internet Explorer 9, Mozilla Firefox 34, Google Chrome 39 (JavaScript enabled) or the latest version of each web browser.
    • Windows 7, Windows 8 or later.
    • Cable modem, DSL, or better Internet connection.
    • Internet bandwidth 2 mbps(recommended).
    • Dual-core 2.4GHz CPU or faster with 2GB of RAM (recommended).

    For Fees & More Information

    Call Us:

    +91 9960935600

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    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.

    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.

    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

    The fees is inclusive of:

    • Training & Digital Badge.
    • Course material.
    • 2 attempts of Global certification.

    Download Course Curriculum

    SAS Digital Badge

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