Data Science with SAS Certification Training
Overview

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 modelling techniques. This SAS Certification course will give you practical knowledge you can apply on your next data analysis job.

SAS is a leader in 2017 Gartner Magic Quadrant for Data Science Platform The average salary for a Business Intelligence Developer skilled in SAS is $104k (Source - Paysa)

Course Content/Exam(s)
Course Code Description Exam Code
EL-DSCSAS  data-science-with-sas-certification-training-pdf.pdf
Course Benefits
 
  • 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
 

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