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pearsoninst
Pyrite | Level 9

R is a open source and any thing which id free we just love to get.If you see the licence portion of R you can find out why you should use SAS and not R . There are lots of SW in this domain but thing is that ,which one the industry believes and you would like to work.I also feel this is a unnecessary question in this forum.Still could not hold my self to answer it .
Tnx
KD

2 REPLIES 2
sithjac
Calcite | Level 5

SAS is the leading software in business analytics and helps improve business performance at a much faster rate. 

 

Who can learn SAS ?

 

  1. ETL Developers
  2. Business Intelligence Professionals looking to taking faster decisions and improving the performance
  3. Database Professionals,Project Managers, Mainframe Developers and SQL Programmers who are eager to learn best techniques to improve their business

Why learn R programming with SAS ?

 

  • Using SAS with R makes your business easier and scales information for different processors to work simultaneously.
  • While R Programming is one of the fastest growing statistical languages and is highly extensible proving variety of statistical and graphical techniques, SAS is the leading software in business analytics and helps you improve your performance at a much faster rate.

R Programming language and use of SAS Software to apply in Analytical Projects for multiple industrial domains and scenarios.

 

Still some says R is better than SAS. But according to me we have to learn the concpets of both. Give your views.

 

Thanks in Advance 

Reeza
Super User
Your comment/question is vague. You entirely miss the data science/statistician subset that use - Statistical Analysis Software (SAS) on a daily basis. Additionally your arguments/statements on why to learn R are unsupported and wrong. R does not scale easily - that is it's huge drawback.

R vs SAS is not a question - yes you will need both for statistical analysis. There are other languages, Python, Scala, C++, Javascript, Julia that are relevant. For enterprise level BI, data management, database development R will not stand up, IMO. It leads in statistical analysis. However the majority of options are also available in Python and Scala and those are implementable in servers and databases directly.


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