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SAS Training & Certification

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


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Why this 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)
  • 2K + satisfied learners. Reviews

Instructor-led live online classes

23

Jun
Fri - Sat ( 4 Weeks )
09:30 PM - 12:30 AM ( EDT )
21995

Early Bird Offer

29

Jul
Sat - Sun ( 4 Weeks )
11:00 AM - 02:00 PM ( EDT )
10% Off
21995
19795
10% Off till 25th June

Edureka For Business

Train your employees with exclusive batches and offers and track your employee's progress with our weekly progress report.

Instructor-led Sessions

24 Hours of Online Live Instructor-Led Classes.
Weekend Class : 8 sessions of 3 hours each. 

Real-life Case Studies

Towards the end of the training, you will be working on a project where you will implement the techniques of SAS.                             

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.

Certification

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

Forum

We have a community forum for all our customers that further facilitates learning through peer interaction and knowledge sharing.

Edureka's SAS 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. 

After the completion of the Edureka SAS  course, you should be able to: 

1. Understand how SAS works in the back-end. This is supremely important for writing good code

2. Explore data with SAS procedures

3. Apply various data mining techniques

4. Perform Data Exploratory Analysis

5. Learn where to use functions like PUT, INTNX, SUBSTR, INPUT, SUM, among others

6. Apply PROC UNIVARIATE, PROC CORR etc. to perform statistical analyses

7. Implement the concepts as-is in data analytics work

8. Work on a industry-relevant case study, implementing concepts of SAS to build a 360 degree view of the customer, required for deriving actionable insights

  • 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. 

This course is designed for professionals who want to learn widely acceptable data mining and exploration tools and techniques, and wish to build a booming career around analytics. The course is ideal for:

1. Analytics professionals who are keen to migrate to  advanced analytics 

2. BI /ETL/DW professionals who want to start exploring data to eventually become data scientist

3. Project Managers to help build hands-on SAS knowledge, and to become a SME via analytics

4. Testing professionals to move towards creative aspects of data analytics

5. Mainframe professionals

6. Software developers and architects

7. Graduates aiming to build a career in Big Data as a foundational step

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. 

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 you will be given access to WPS ( World Programming System™ ) which is valid for 3 months, however you can install SAS University Edition software which has a life time validty. The detailed installation guides are provided in the LMS for setting up the environment. 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.                       

Learning Objectives - 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 it’s contents, SAS Studio on SAS University edition, The SAS language, SAS data sets  Parts of a SAS program, Modes for submitting a SAS program, How SAS language works, DATA-STEP’s 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.

Learning Objectives - Once we have created or accessed data in SAS, learn how to then how to work on/with it are the learnings  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.

Learning Objectives - 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-dimensional ARRAYS, PROC SORT – an introduction, SAS Automatic variables

Learning Objectives - 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.

Learning Objectives - 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.

Topics - Using SAS PROCEDURES, PROC IMPORT, PROC DATASETS, PROC CONTENTS, PROC PRINT, PROC FREQ, PROC SORT, PROC FORMAT, PROC SURVEYSELECT, PROC TRANSPOSE, PROC MEANS, PROC SUMMARY, PROC RANK, PROC OPTIONS, PROC EXPORT.

Learning Objectives - 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.

Learning Objectives - 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 Objectives - 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

"You will never lose any lecture. 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."
edureka is committed to provide you an awesome learning experience through world-class content and best-in-class instructors. We will create an ecosystem through this training, that will enable you to convert opportunities into job offers by presenting your skills at the time of an interview. We can assist you in resume building and also share important interview questions once you are done with the training. However, please understand that we are not into job placements.
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 give us a CALL at +91 88808 62004/1800 275 9730 (US Tollfree Number) OR email at sales@edureka.co

  • Once you are successfully through the project (Reviewed by a edureka expert), you will be awarded with edureka’s SAS Developer certificate.
  • 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. Please be assured.