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Initially developed for analysing statistics in the 1960s, SAS programming has come a long way since then. From statistical analysis to the graphical representation of data, you can learn SAS to customise it to your field.
Whether you’re into business analysis or medicinal research, SAS can handle huge sets of data and display it in a readable format. So, should you learn SAS?
Check these fifteen stats about SAS programming to find out –
1) SAS is a programming language
While SAS offers a GUI (short for – Graphical User Interface), at its core, it’s a fourth-generation programming language. But it’s designed to reduce the time and efforts you need in analytics.
2) SAS programs only have two kinds of steps
The SAS programs have a combination of only two types of steps – DATA (to manage the data) and PROC (to process and present the data).
3) SAS is the most used tool
It’s the most used tool when it comes to data analysis and business decision making. In fact, SAS programming platform holds about 30.5 per cent of the market share of advanced and predictive analytics. It’s more than double the market share of its nearest competitor.
4) The fifth largest player in Business Intelligence software
SAS is the largest independent software vendor for Business Intelligence software products. With 6.9% market share, the SAS programming language is the fifth largest.
5) 42.6 market share in Health Research
As per a 2011 study, 42.6 per cent of data analysis in health was done with the SAS programming software.
6) SAS reinvests 26% of revenue
Investment in R&D by SAS is more than double the industry average of 12.5%. It invests 26% of its revenue. One of the reasons why you should learn SAS and keep yourself updated.
7) $60 million donations to non-profits
In the US, the company donated more than $59 million worth of software, hardware and training among other things in 2017. And then, there was $1.3 million in cash.
8) Joined 30,000 organisations for volunteering
In 2017, SAS employees in 16 countries volunteered for almost 30,000 organisations as the #GivingTuesday initiative. They raised $300 million in the process.
9) SAS programming software can read other statistical files
If you learn SAS, you can also handle data files created by other packages like SPSS, Excel, Systat and incorporate those in the present system.
10) More than 200 components present
From basic procedures to graphics, data mining, quality control, the SAS software suite has over 200 components.
11) Free learning resources in more than 120 countries
More than 3 million teachers and students access online resources to get prepared for a technology-driven workforce.
12) 65 Analytics Degree Programs worldwide
With the aim to help people learn SAS and other analytical skills, the company has helped to launch 72 masters and undergraduate courses. There also are 172 certification programs.
13) 4000+ people got trained in using analytics
During the guest lectures to universities and various colleges in 2017, more than 4000 students and professors learnt their way into analytics.
14) SAS is more than 40 years old
From its initial release in 1976, SAS programming has been present in the market for 42 years now. One more reason to learn SAS and trust its analysis.
15) Free educational software
By 2017, there were 1.45 million registrations on its free SAS University Edition and SAS OnDemand for Academics software.
16) SAS is easy-to-use
The point-and-click interface of SAS – the SAS Enterprise Guide generates codes to analyse data without the need of programming experience.
Even though with so many features, it’s easy to learn SAS and then, use it for various analysis.

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About Imarticus
Imarticus Learning is India’s leading professional education institute that offers training in Financial Services, Data Analytics & Technology. We’ve successfully transformed careers of over 35,000+ individuals globally through our Certification, Prodegree, and Post Graduate programs offered in association with leading and renowned global organisations in the Financial Services, Data Analytics & Technology domain.
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