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SAS Training | SAS Tutorials For Beginners | SAS Programming | SAS Online Training | Edureka

This SAS Training video from Edureka will help you to understand all the concepts of Data Analytics tools – SAS, its components, features and example programs, Web Scraping use case and how it can be used in the industry. This video is ideal for both beginners as well as professionals who want to learn or brush up their concepts in SAS. Below are the topics covered in this tutorial:

1. What is Data Analytics?
2. Data Analytics Tools
3. Why SAS?
4. What is SAS?
5. SAS Features
6. Programming in SAS
7. Case Study – Web Scraping using SAS
8. SAS Job Trends

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#SASTraining #SASTutorial #DataAnalytics #SAS #Edureka

How it Works?

1. There will be 24 hours of instructor-led interactive online classes, 20 hours of assignments and 20 hours of project
2. We have a 24*7 One-on-One LIVE Technical Support to help you with any problems you might face or any clarifications you may require during the course.
3. You will get Lifetime Access to the recordings in the LMS.
4. At the end of the training you will have to complete the project based on which we will provide you a Verifiable Certificate!

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About the Course

Edureka’s SAS Training 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.

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Why Learn SAS?

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.

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

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Who should go for this course?

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

Please write back to us at or call us at +918880862004 or 18002759730 for more information.


Customer Reviews:

Michael Harkins, Solution Engineer-Open Source Analytics at IBM, says, “The courses are top rate. The best part is live instruction, with playback. You get all the presentations and labs. Great instructions. But my favorite feature is viewing a previous class. 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. I have taken so many courses and then not really gotten to work with a technology until I forgot most of what was taught. Edureka lets you go back later, when your boss says “I want this ASAP!” ~ This is the killer education app… I’ve take two courses, and I’m taking two more. Love these guys. ”

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