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Course Fee

₹ 15,000 ₹ 7,000

Course Insides

Level of Course

Beginners to Advance


2 Months

Classes Mode



Weekend(Sat & Sun)

Live Project

3 Lives Project


12 Exercises

About the course

SAS stands for Statistical Analysis Software which is used for Data Analytics. It helps you to use qualitative techniques and processes which allows you to enhance employee productivity and business profits. SAS is pronounced as SaaS.

In SAS, data is extracted & categorized which helps you to identify and analyze data patterns. It is a software suite which allows you to perform advanced analysis, Business Intelligence, Predictive Analysis, data management to operate effectively in the competitive & changing business conditions. Moreover, SAS is platform independent which means you can run SAS on any operating system either Linux or Windows.

Who can take up the course?

Data Analyst

Data Scientist

Business Analyst



  • The course is absolutely practical and real-time based on theory material provided in advance.
  • The sessions are interactive and interesting
  • All the queries are answered.
  • Easily access raw data files & data in from an external database. Read and write almost any data format!
  • Manage data using tools for data entry, editing retrieval, formatting & conversion
  • Analyze data using descriptive, statistics, multivariate techniques, forecasting, modeling, linear programming
  • Advanced analytics helps you to make changes and improvements in business practices.
  • Report formation with perfect graphs
  • Operations research and project Management
  • Data updating and modification
  • Powerful data handling language
  • Excellent data cleansing functions
  • Interact with multiple host systems


Why is SAS?

Set up SAS

Logging-in to a SAS Session after installation

SAS User Interface

  • SAS Dataset, Variables and Observations
  • SAS Libraries
  • Library Naming Conventions
  • Dataset Naming Conventions
  • SAS Program Syntax
  • SAS Data Step and Proc Step
  • Referencing data in SAS
  • Bringing data into SAS
  • Creating new variables
  • Keeping, Dropping and Renaming Variables in a Dataset
  • If-else conditional statements
  • Filtering data
  • SAS Dates
  • SAS Functions
  • Do Loops
  • Practice, Questions and exercise
  • Structuring Data Overview
  • Stacking Data using a Data Step
  • Stacking Data using PROC APPEND
  • Interleaving of data
  • Sorting Data using PROC SORT
  • Removing duplicates
  • Merging of data
  • Joins
  • Transposing data
  • Retain Statement
  • Practice, Questions and exercise
  • Why is Visualizing?
  • Charts
  • Vertical bar chart – groups and subgroups
  • Plots
  • Report Output
  • Summary statistics
  • Output Delivery System (ODS)Practice, Questions and exercise
  • Why is Optimizing Code?
  • Macro Variables – introduction
  • Application of Macro variables
  • Nested macro variables and ampersand resolutions
  • SAS Macros – introduction
  • Macro Functions
  • Practice, Questions and exercise
  • Project1
  • Project2
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₹ 15,000 ₹ 7,000
NOTE: You have to pass these courses before you can enroll this course.