SHOULD I GO FOR SAS TRAINING OR R PROGRAMMING TRAINING
by Rita Sharma maketing AnalyzerThe choice between using SAS vs. R is a
raging debate in the data analysis community today. Industry surveys reveal
quantitative professionals using R and SAS at similar rates with a little
minority still using Python. Each tool has its advantages and disadvantages,
and they serve very different markets. When it comes to SAS vs. R – which one
is better for you?
THE PROS OF SAS
SAS has been a powerful player in the commercial data
analytics area. It has a great graphical user interface and a large array of
statistical functions as well as data analysis functions. Due to its high market share, there are many
secondary tools that help SAS in addition to the great technical support SAS
offers. There are also many other software applications interface with SAS.
You can earn certifications in SAS from Best SAS Training Institute in Noida
and SAS consulting is profitable because of tens of thousands of large companies
pay for experts to help them solve problems, build interfaces, or create custom
reports.
Because SAS is so well entrenched in big businesses for
whom price isn’t as much of an object, it is a good choice for those who want
to work for financial services companies, airlines, CRM firms, and logistics
providers.
THE CONS OF SAS
SAS doesn’t update with new features as quickly as R, but
its releases are thoroughly tested before being released. You may not get new features
as soon as they show up in R, but you can be assured they work.
THE PROS OF R
R is the open source alternative to SAS, and it wins on
low cost. Academics and startups chose R for this reason. R has a
disproportionate following in telecoms and tech companies.
R is widely used in academia and research, and this is
why it has a better reputation for cutting edge data mining. If you want to
use techniques like GLMET or AdaBoost, you have to use R. You can learn R by
joining Best
R Programming Training Institute in Noida.
R has better graphical capabilities, especially if you
want to customize graphs.R offers functions that SAS cannot such as decision
trees, association rule mining, and advanced data mining. This is why R is the
tool to use for data mining.
THE CONS OF R
R has a steep learning curve and it requires you to
understand both programming and data analysis. It is worse than learning C++. Because
R is a low-level programming language, coding something simple can take more
time than a programming language like Python.
Data handling in R causes problems if you try to crunch
large data sets on small computers. This isn’t an issue with SAS.
CONCLUSION
If you’re a data scientist, you’re as likely to be using
R and Python, and almost never using SAS. If you are data mining or need complex
graphical outputs, R wins over SAS. However, by large businesses that cannot
afford to have disruptions in their financial and marketing data analysis
stalled and don’t care about the price tag.
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Created on May 29th 2019 06:58. Viewed 583 times.