SAS Training & Certification

Become a SAS Expert by mastering the various concepts of SAS Language while working on real-life use cases and projects.

SAS Training & Certification

Course Description

The SAS Training & Certification course is designed to provide knowledge and skills to become a successful Analytics professional. It starts with the fundamental concepts of rules of SAS as a Language to an introduction to advanced SAS topics like SAS Macros.

The Edureka SAS Training & Certification certifies you as an “in demand” SAS professional, to help you grab top paying analytics job titles with hands-on skills and expertise around data mining and management concepts. SAS is the primary analytics tool used by some of the largest KPOs, Banks like American Express, Barclays etc., financial services firms like GE Money, KPOs like Genpact, TCS etc., telecom companies like Verizon (USA), consulting companies like Accenture, KPMG etc use the tool effectively.

Course Outcomes:
  • Perceive Analytics with SAS
  • Explain SAS GUI, datasets, import/export of manipulated data
  • Gain in-depth knowledge of integrating and refining datasets
  • Perform conditional and iterative looping into your SAS program
  • Simplify a SAS program with SAS arrays
  • Analyse statistics and perform advanced statistical techniques with SAS
  • Perform automation on complex repeated tasks using MACROS
  • Implement and invoke SQL queries in SAS program
  • Execute ODS statement with SAS
  • Build and solve models using PROC OPTMODEL
Course Details:

Target Audience

Anyone who wants to learn programming with SAS can start right away! The course is exclusively designed for students and professionals aspiring to make a career in Data Analytics with SAS.

  • SAS Developers

  • Analytics Professionals

Other professionals, from technology field, willing to acquire a solid foundation of this widely-used Analytical language, can also opt for this course.

Access Timeframe

You get lifetime access to Learning Management System (LMS) where presentations, quizzes, installation guide & class recordings are there.


Though not a pre-requisite, it would be highly beneficial if learners have reasonable level of proficiency in any data handling tool like MS Excel.
Certificate Info:

Type of Certification

Certificate of Completion

Format of Certification


Professional Association/Affiliation

edureka certification has industry recognition and we are the preferred training partner for many MNCs e.g.Cisco, Ford, Mphasis, Nokia, Wipro, Accenture, IBM, Philips, Citi, Ford, Mindtree, BNYMellon etc.

Course Outline

This module will introduce you to SAS as a language. It will talk about the minimum set of rules SAS works with, about how to access data in SAS, and more.

Topics - Introduction: History, SAS Windows and its contents, SAS Studio on SAS University edition, The SAS language, SASdata sets Parts of a SAS program, Modes for submitting a SAS program, How SAS language works, DATA-STEPs built-in loop, Program data vector (PDV), Getting your data into SAS, Temporary vs. permanent SAS data sets, Working with data, Creating and redefining variables.
Once we have created or accessed data in SAS, learn how to then how to work on/with it are thelearnings In this module, we will understand SAS functions (there are more than 400 available, so we will focus on a selected few), and some specialized SAS options.

Topics - Creating and redefining variables revisited, SAS functions: NUMERIC, CHARACTER, Working with SAS dates, DATES, SAS formats, SAS informats, PUT INPUT, Conditional variable creation.
This module has vast literature. This module will talk about how to work on iterative steps/processes with the help of Loops. It will then talk about some advanced topics on working with data.

Topics - Working with data: LOOPS, DO statement (Loop), DO-UNTIL statement, DO-WHILE statement, Working with data: Advanced topics, Retain Sum statements,Uni-dimensionalARRAYS, PROC SORTan introduction, SAS Automatic variables.
Real-life work scenarios will require an analyst to work with multiple data sets, requiring integration, vertically or horizontally.This module will help you understand how to combine 2 or more SAS datasets.

Topics - Appending datasets, Using SAS dataset option IN, Appending datasets using IN, Merging datasets, Merging scenarios through Venn diagram, Merging codes for 4 scenarios.
SAS houses in-built procedures or SAS programs helping the user save time in writing customized codes for frequently used programs. This module will formally introduce and familiarize the user through some of the most frequently used PROCs in the industry.

SAS is a data management as well as an advanced statistical tool. This module familiarizes learners with elementary statistical procedures around SAS.

Topics - Introductory Statistical PROCs, PROC CORR, PROC UNIVARIATE, PROC FREQ, Summarizing data using PROC MEANS, Merging summary statistics to Parent data.
If you cannot debug a code then you do not really know coding. So, this module will focus on some of the common mistakes made by SAS programmers. The module also provides guidelines and best practices for avoiding bugs, or even debugging them.

Topics - Debugging, Writing programs that work, Fixing programs that do not work, Introduction to Advanced SAS - Structured Query Language, Macros.
Learning a programming language without its extensive usage will not be effective. Hence, this module will recap the concepts learnt till module 6, and then cover the case study using toy-datasets mimicking the real-life industry challenges in details.

Topics - Concepts quickly revisited, Accessing data, Working with data, Variable creation, Dataset options, Sorting Combining data , 3 Best practices when approaching a new dataset, Case study on BFSI data:, Problem statement: Building Customer Analytics Record.

Technical Requirements

Software requirements: SAS University Edition can be installed on Microsoft Windows 7 or later version, Mac OS X 10.8 or later, Linux operating environment. Hardware requirements: 64-bit hardware with a minimum of 1 GB RAM.


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