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Data Science with SAS Training

20,000.00 15,000.00

In this SAS Certification Training, you’ll become an expert in analytics techniques using the SAS data science tool. You’ll learn how to apply data manipulation and optimization techniques; advanced statistical concepts like clustering, linear regression and decision trees; data analysis methods to solve real-world business problems and predictive modeling techniques. This SAS Certification course will give you practical knowledge you can apply on your next data analysis job.

Batch Schedule

Visit the Live Session URL and sign-in using assigned credentials to attend online classes asm per batch schedule below

Course Objectives

Concepts and skills you will learn in this course

  • SAS is a remarkably popular data visualization and management tool used by millions of organizations all over the world for the purpose of storing, retrieving, analyzing and manipulating their large data.
  • It is very easy to learn and offers a great scope in the market where the candidate will easily earn a competitive income which will be increased with experience.
  • SAS is a flexible and powerful statistical tool which can run on many platforms such as Windows and Unix.
  • Since SAS is a fourth generation language, writing programming codes in SAS is very easy and the graphic user interface provides is quite flexible.
  • SAS can easily be integrated with other database software such as Oracle, DB2 and MS Excel.
  • SAS is able to fulfill any company’s data analysis demands very easily and thus companies all over the world are constantly looking for candidates who are skilled in SAS.
  • There is a huge community for SAS programming online, where you can find answers to your debt easily and instantly.
  • Statistics show that the number of SAS users has been increasing rapidly for the last couple of years and it will see no change in upcoming years as well.

Who should enrol for this course

Students and working professionals who can benefit from this course

There is an increasing demand for skilled data scientists across all industries that make this course suitable for participants at all levels of experience. We recommend this data science training especially for the following professionals:

  • Analytics professionals who want to work with SAS
  • IT professionals looking for a career switch in the fields of analytics
  • Software developers interested in pursuing a career in analytics
  • Graduates looking to build a career in analytics and data science
  • Experienced professionals who would like to harness data science in their fields

Prerequisites: There are no prerequisites for this course. The free SAS Base Programmer course provides some additional coding guidance.

Entry and Exit Profile

Your profile before and after joining this course

A learner should be able to:

  • Converse in English
  • Work on the Windows Environment

This course will enable you to:

  • Understand the role of data scientists, various analytics techniques, and widely used tools
  • Gain an understanding of SAS, the role of GUI, library statements, importing and exporting of data and variable attributes
  • Gain an in-depth understanding of statistics, hypothesis testing, and advanced statistical techniques like clustering, decision trees, linear regression, and logistic regression
  • Learn the various techniques for combining and modifying datasets like concatenation, interleaving, one-to-one merging and reading. You will also learn the various SAS functions and procedure for data manipulation
  • Understand PROC SQL, its syntax, and master the various PROC statements and subsequent statistical procedures used for analytics including PROC UNIVARIATE, PROC MEANS, PROC FREQ, PROC CORP, and more.
  • Understand the power of SAS Macros and how they can be used for faster data manipulation and for reducing the amount of regular SAS code required for analytics
  • Gain an in-depth understanding of the various types of Macro variables, Macro function SYMBOLGEN System options, SQL clauses, and the %Macro statement
  • Learn and perform data exploration techniques using SAS
  • Understand various time series models and work on those using SAS
  • Model, formulate and solve data optimization by using SAS and OPTMODEL procedure

Learning Cycle

Understand how to pace yourself through this course

Learning Guidelines

Understand how to pace yourself through this course

Attendance

Understand how to pace yourself through this course

  • You are required to attend at least 60% of the sessions of a course.
  • If you are unable to attain 60% attendance in a course, you are not entitled for any certificate.

Breaks and Transfer

Understand how to pace yourself through this course

  • Break/Transfer is not applicable for this course.

Certificate Type

The type of certificate you would get with this course

Graded:
  • If eligibility criteria is met
  • Have achieved the minimum of Grade ‘C’
Participation:
  • If eligibility criteria is met
  • Have not achieved the minimum of Grade ‘C’

Certificate Norms

Eligibility Criteria for Certification

Eligibility Criteria:
  • Complete fee is paid
  • Attendance is>=60%

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