SAS Training | SAS Certification | SAS Course | Edureka

SAS Training and Certification

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SAS Certification Training is intended to make you an expert in SAS programming and Analytics. You will be able to analyse and write SAS code for real problems, learn to use SAS to work with datasets, perform advanced statistical techniques to obtain optimized results with Advanced SAS programming.  
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Why should you take SAS course ?

SAS is a Leader in 2017 Gartner Magic Quadrant for Data Science Platform

Since 1976, SAS has helped customers at more than 83,000 sites make better decisions faster.

The average salary for a Business Intelligence Developer skilled in SAS is $100k (Payscale salary data)

Instructor-led SAS live online classes

15 th  Feb
Fri & Sat(4 Weeks) Weekend Batch Timings : 09:30 PM - 12:30 AM (EST)
Sold Out
09 th  Mar
Sat & Sun (4 Weeks) Weekend Batch Timings : 10:00 AM - 01:00 PM (EST)

Course Price

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EMI starts at 4948 / month.

Goal: In this module, you will learn to use the SAS Environment and program flow in SAS with specifications of Data and Proc steps. Also, you will learn to install SAS University Edition on your system.


At the end of this module, you should be able to:

Install SAS University Edition 

Express SAS as a language

Describe the rules for the definition of SAS names

Define the different datatypes, datasets in SAS

Explain the significance of Data/Procedural step

Run a simple SAS program

Exercise better control over Data Step Programming using PDV.


Use Cases of SAS implementation

Installing SAS University Edition

Explore SAS GUI, SAS window and its contents

Rules for definition of a SAS name

Different Datatypes in SAS

Use of Formats and Informats in SAS

Illustration of SAS Datasets

The Data step and procedural step

Creating an Instream SAS Dataset

Basic Procedural statements

Assessing Input Buffer and Program Data Vector (PDV)

Hands On:

Navigating the SAS windows environment

Nuts and bolts of SAS programming steps

Converting data as per required format

Creating a dataset using CARDS

Generating the output using PROC PRINT

Goal: This module introduces you to import datasets and control the import of datasets into SAS and ultimately concatenating them.

Objective: At the end of this module, you should be able to:

Bring in your external data into SAS and modifying it.

Describe and subset permanent datasets.

Modify/Delete existing columns

Concatenate Datasets


Import of Data in SAS

Manipulating influx of datasets into SAS

Creating a new variable

Working with Temporary and Permanent Datasets

Set and Merge Statements

Hands On:

Demonstrating import of external data within SAS using INFILE

Demonstrating import of external data within SAS using PROC IMPORT

Creating Permanent Datasets

Performing operations with KEEP, DROP and RENAME and LABEL options

Constructing a new variable

Creating integrated datasets using SET/MERGE

Goal: This module introduces the concept of looping and its implementation in the SAS programming language. You will explore arrays and functions to simplify complications in SAS programming.

Objective: At the end of this module, you should be able to:

Demonstrate dependent and independent looping

Master data step programming with SAS functions

Simplify processing with SAS Arrays


Conditional& Iterative Processing

SAS Arrays

Useful SAS Functions

PUT/INPUT Functions

Date/Time Functions

Numeric Functions

Character Functions

Hands On:


Demonstrate the use of arrays in SAS 

Operation with INPUT/PUT functions

Writing a Program with date/time functions

Performing programming with Numeric functions

Executing program with Character Functions

Goal: You will learn the analysis of your statistical data with advanced SAS procedures

Objective: At the end of this module, you should be able to:

Explain Statistical Procedures

Define priorities to your statistical data

Discuss statistics associated with a variable

Express correlation between two or more variables 


Proc Dataset

Proc Format

Proc Sort

Proc Means

Proc Freq

Proc Surveyselect

Proc Transpose

Proc Summary

Proc Rank

Proc Corr

Proc Univariate

Hands On:

Obtaining statistical means of variables

Checking the degree of dependence within different variables

Generating ranks for statistical data

Performing re-structuring of data

Conducting sampling: Random and Stratified

Goal: You will learn to model estimate and classify events based on the values of dependent variables. You will be taught to perform different types of clustering methodologies to bunch your observations.

Objective: At the end of this module, you should be able to:

Define clustering and its types

Explain clustering algorithms

Nest data in different clusters 

Analyse the regression between two or multiple variables

Model and estimate an event based on Logits


Introduction to Clustering

Hierarchical Clustering

Non-Hierarchical Clustering (K means Clustering)

Simple and Multiple Linear Regression

Logistic Regression

Hands On:

Demonstrate the use of PROC CLUSTER 

Writing a SAS advanced program with PROC FASTCLUS

Performing operations on regression with PROC REG

Demonstrate modelling using PROC LOGISTIC

Goal: You will learn to reduce the degree of complexity of a problem by developing& resolving optimization models and ultimately routing detailed presentation output from SAS in desired formats and destination. 

Objective: At the end of this module, you should be able to:

Discuss data optimization

Acquire optimized models for complex problems

Resolve optimization models

Describe the Output Delivery System in SAS

Explain the use of ODS statement for creation of different file types


What is Data Optimization?

Realizing Optimization Models

Using Proc Optmodel

Solving the Rosenbrock Problem

Introduction to ODS

Benefits of using ODS

Generating rtf file

Generating pdf file

Generating html file

Generating doc file

Hands On:

Writing a program with PROC OPTMODEL

Solving the optimization model using SOLVE

Extracting optimized outputs 

Routing quality presentation files

Create html files

Create rtf file

Create pdf and doc files

Goal: You will learn to invoke SQL in SAS.

Objective: At the end of this module, you should be able to:

Write SQL code using various styles of the SELECT statement

Use CASE/WHEN clauses for conditionally processing the data

Systemize appearance of observations

Join data from two or more data sets


Creating new tables

The SELECT statement

Sorting Data

The CASE expression

Other SELECT statement clauses


Hands On:

Demonstrating the SQL Procedure

Writing the SELECT clause

Application of WHERE clause

Merging Datasets

Using ORDER BY clause

Goal: You will explore how to automate a complex repeated process in SAS with the use of Macros.

Objective: At the end of this module, you should be able to:

Define Macro Concept

Automate a task that you perform repeatedly

Explain Macro Step

Express Macro step as a combination of different variables


Introduction to Macros

Benefits of using SAS Macros

Macro Code Constituents

Macro Variables

Macro Step

Positional Parameters to Macros

Hands On:

Demonstrate the use of Macro variables in SAS

Writing a Macro code to simplify a program

Demonstrate Macro step programming

Performing Macro coding by passing parameters

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The SAS Training and Certification Course is designed to provide concept and skills of SAS Programming language, tools and several leading statistical techniques to become a successful Analytics professional. These techniques can be enforced to carry out advanced SAS programming. The course is fed with series of interactive exercises, which makes the learning more effective. This Course allows you to prepare for the below SAS certifications:

SAS Certified Base Programmer for SAS 9

SAS Certified Advanced Programmer for SAS 9

At the end of this course, you should be able to:
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

  • The Edureka SAS training 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 irms like GE Money, KPOs like Genpact, TCS etc., telecom companies like Verizon (USA), consulting companies like Accenture, KPMG etc use the tool effectively.

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.

It would be advantageous for you to have prior programming experience and familiarity with basic concepts such as variables, flow-control, and functions along with basic knowledge of Stats. But if you have none and are motivated you will do fine.

Edureka’s SAS Programmer Certificate Holders work at 1000s of companies like

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Puneet Jhajj

I have done Spring Framework and Hadoop framework training from Edureka. I am very happy with the training and help they are providing.The sessions were very informative. The instructors are highly knowledgeable.They provide a set of videos from a previous session, so you can watch the course before you participate. This way you can get the most out of the course.Excellent Customer Service starting with signing up of the course. I really appreciate Edureka Support team. They are really doing a fantastic job. All my queries were answered properly and promptly.You get recording of the classes, presentations and labs in LMS. And good feature is you have lifetime access to LMS of course you have taken, so you can refer, revise any topic when you want.I can safely say Edureka is one of the best training company.

Mohit Sharma

I have been subscribing to Edureka's courses for almost a year now, primarily related to Big Data and Data analytics. These courses have helped me to gain that competitive edge which is required at the job. Also, their courses cover a breadth of topics and range from computer programming languages like Java to Data Visualisation. There is also constant updation done on these courses, and you can talk to their support staff at any time for any assistance. I found the faculties very knowledgeable, and all the courses that I enrolled in were delivered in a very detailed and professional manner. For any person looking for online training, I can recommend Edureka without hesitation.

Somasekhar Bollineni link AIX Administrator at IBM Global Services

I really had overwhelming experience with edureka. I was looking for class room training for AWS course. But the edureka representative explained me the advantageous of the online program that they are providing. Best part about it is, they provided all the class room recordings and in future you can attend the online classes of the same course again WITHOUT any additional cost. This is awesome. I really recommend edureka training programs for career growth. I am sure you will fell the same, if you are part of edureka.

Gagan Maheshwari

Thanks a lot for your Android course. Right from the point of the start of the demo class, until the end of the complete course, the ride has been truly joyous and full of learning . I had no insight into Android development but with the help of your excellent instructor, I now stand a chance to explore wider into this. The webinars were truly awesome. Live Online sessions were highly interactive. The edureka! methodology for Online classes has changed the way I look at webinars now. Plus point is the knowledgeable course material. I am falling short of words describing the great experience of my Android training at edureka!. Thanks Team edureka!

Manoj Josh link Associate Manager at Accenture, Mumbai

I have attended Edureka's Spring and Design Patterns course. Very engaging and I liked the course structure very much. One good part is , before the course begins you have access to previous courses sessions which helps in understanding whether this course is covering all the topics for you. If not , your required topics can also covered during the actual live sessions. This is one unique company which has really evolved and matured as a solid technical education provider. Great job !!! And I look forward to taking more courses from you!

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Edureka Data science course provided me a very good mixture of theoretical and practical training. The training course helped me in all areas that I was previously unclear about, especially concepts like Machine learning and Mahout. The training was very informative and practical. LMS pre recorded sessions and assignmemts were very good as there is a lot of information in them that will help me in my job. The trainer was able to explain difficult to understand subjects in simple terms. Edureka is my teaching GURU now...Thanks EDUREKA and all the best.

Raghava Beeragudem link Senior Big Data Consultant at Clarity Solution Group

I have taken 3 courses (Hadoop development, Python and Spark) in last one year. It was an excellent learning experience, most of the instructors were very interactive and having extensive industry knowledge. The support team is highly professional, always ready to assist you and let you chose your classes based on your own availability. The Learning Management System(LMS) is great. and good thing is that you would get Lifetime access to all the course that you have registered. Apart from courses and instructors, Edureka support is excellent as they provide quick resolution to any issues(example VM setup. cluster connectivity issues and etc) . If you are looking for Big Data related courses then Edureka is the right place.

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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.
For executing the practicals a detailed installation guide is provided in the LMS for setting up the SAS University Edition software environment which has a lifetime validity. In case you come across any doubt, the 24*7 support team will promptly assist you.
Towards end of the course, you will get an opportunity to  work on a live case study from the banking domain  which happens to be one of the most data intensive industries.
Industry: Banking  
Data: Customer-level, Accounts-level and Transaction level   
Problem-statement: To build a Customer Analytics Record.                                                              
A unique feature of this project is that though it will be mimicked for a bank, it has much wider application across almost all the B2C (and even a few B2B) industries.                       

Instructor-led Sessions

24 Hours of Online Live Instructor-led Classes. Weekend class : 8 sessions of 3 hours. Weekday class : 12 sessions of 2 hours each.

Real-life Case Studies

20 Hours of Live project based on any of the selected use cases, involving Industry concepts of SAS.


20 Hours  of Assignments. Each class has practical assignments which shall be finished before the next class and helps you to apply the concepts taught during the class.

Lifetime Access

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

24 x 7 Expert Support

We have 24x7 online support team to resolve all your technical queries, through ticket based tracking system, for the lifetime.


edureka certifies you as SAS Developer based on the project reviewed by our expert panel. 


We have a community forum for all our customers that further facilitates learning through peer interaction and knowledge sharing.
"You will never miss a lecture at Edureka! You can choose either of the two options:
  • View the recorded session of the class available in your LMS.
  • You can attend the missed session, in any other live batch."
To help you in this endeavor, we have added a resume builder tool in your LMS. Now, you will be able to create a winning resume in just 3 easy steps. You will have unlimited access to use these templates across different roles and designations. All you need to do is, log in to your LMS and click on the "create your resume" option.

We have limited number of participants in a live session to maintain the Quality Standards. So, unfortunately participation in a live class without enrolment is not possible. However, you can go through the sample class recording and it would give you a clear insight about how are the classes conducted, quality of instructors and the level of interaction in the class.

All the instructors at edureka are practitioners from the Industry with minimum 10-12 yrs of relevant IT experience. They are subject matter experts and are trained by edureka for providing an awesome learning experience.

You can Call us at +91 98702 76457 /1844 230 6362 ( US Tollfree ) OR Email us at . We shall be glad to assist you. 

For payments done using credit cards, to make this a No Cost EMI offer, the interest amount will be discounted from the price of the course. Your card will be charged for the course price minus the discounted interest. The total amount you will pay to the bank (excluding GST) will be equal to the price of the course. The bank will charge GST on the interest amount. For payments done using Razor Pay EMI, the price will not be discounted upfront. Instead, you will not be charged any interest for a No Cost EMI offer.
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