WHY ASPIRE ?

We are the Information Technology training division of Aspire Techsoft Pvt Ltd, an IT company founded in 2011.We are ranked among the software training institutes in the india. We are specialized in ERP, SAP, SAS, JAVA, Data Warehousing,Hadoop etc.

Kothrud Branch (Head Office)
  • Address: Malhar Building, Plot No 2, H. A. Colony,
    Paud Phata, Eardawana, Pune 38.
  • Phone:7058-198-728 / 7058-733-423
  • Email:[email protected]
Dange Chowk Branch
  • Address: Office No 108, 1st Floor, ABC Nirman Complex,
    Opp Macdonald, 16 No Stop, Near Dange Chowk, Pimpri Chinchwad, Pune - 33.
  • Phone:8856-033-664
  • Email:[email protected]

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Training Structure

Live Web

Features:

  • 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

    SAS Digital Badge

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      SAS Predictive Modeling Certification

      This course covers the content of both SAS Data Integration Studio: Essentials and SAS Data Integration Studio: Additional Topics. It introduces and expands the knowledge of SAS Data Integration Studio and includes topics for registering sources and targets; creating and working with jobs; and working with transformations. This course also covers information on working with slowly changing dimensions, working with the Loop transformations, and defining new transformations. Targeted towards Data integration developers and data integration architects.

      Learn How To:

      • Generate descriptive statistics and explore data with graphs
      • Perform analysis of variance
      • Perform linear regression and assess the assumptions
      • Use diagnostic statistics to identify potential outliers in multiple regression
      • Use chi-square statistics to detect associations among categorical variables
      • Fit a multiple logistic regression model
      • 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
      • Use other modeling tools such as rule induction, gradient boosting, and support vector machines

      Prerequisites:

      • Before attending this course, you should have knowledge in statistics covering p-values, hypothesis testing, analysis of variance, and regression. 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 necessary.

      Course Outline:

      SAS Enterprise Guide: ANOVA, Regression, and Logistic Regression

      • Generate descriptive statistics and explore data with graphs
      • Perform analysis of variance
      • Perform linear regression and assess the assumptions
      • Use diagnostic statistics to identify potential outliers in multiple regression
      • Use chi-square statistics to detect associations among categorical variables
      • Fit a multiple logistic regression model.
      Applied Analytics Using SAS Enterprise Miner

      • 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.

      The fees is inclusive of:

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

      Download Course Curriculum

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      • Provide labor market insights that connect your new skills to jobs.
      • Enable recruiters to view and verify candidates with certain SAS skills.
      • It will answer, What you did? Who says you did it? and Why it matters? these questions for you.
      

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