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Statistical Analysis Software Base Programmer

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SAS Analytics provides an integrated environment for predictive and descriptive modeling, data mining, text analytics, forecasting, optimization, simulation, experimental design and more. From dynamic visualization to predictive modeling, model deployment and process optimization, SAS provides a range of techniques and processes for the collection, classification, analysis and interpretation of data to reveal patterns, anomalies, key variables and relationships, leading ultimately to new insights and better answers faster. This instructor-led course provides students with the knowledge and skills to leverage SAS tool to analyze data about customers, suppliers, operations, performance and more.


You call them instructors, we call them your Mentors!

They are the catalysts under whose supervision and arm’s length support our students are empowered to accomplish expertise in advanced technology. We boast of enterprising and talented resources with proven track records who are working in tandem with our goal to provide inspiring and enduring technical learning experience to our students.


SAS Programming Essentials

  •  Introduction to SAS
  • SAS Programs
  • Accessing Data
  • Producing Detail Reports
  • Formatting Data Values
  • Reading SAS Data Sets
  • Reading Spreadsheet and Database Data
  • Reading Raw Data Files
  • Manipulating Data
  • Combining Data Sets
  • Creating Summary Reports

SAS Data Manipulation Techniques

  • Controlling Input and Output
  • Summarizing Data
  • Reading Raw Data Files
  • Data Transformations
  • Debugging Techniques
  • Processing Data Iteratively
  • Restructuring a Data Set
  • Combining SAS Data Sets
  • Creating and Maintaining Permanent Formats


Certificate of participation in ‘Statistical Analysis Software’ course.

Who should do this course?

Working professionals who wish to gain expertise in SAS.



  • Session one
    08 July 2017
    26 05 17
  • Session two
    12 October 2017
    29 09 17
  • Session three
    08 February 2018
    31 01 18