SAS Online Training

What is SAS?

        SAS (Statistical Analysis System) is develop by SAS institute for advance analytics.SAS was developed at North Carolina State University from 1966 until 1976, when SAS Institute was incorporated. SAS was further developed in the 1980s and 1990s with the addition of new statistical procedures, additional components and the introduction of JMP. A point-and-click interface was added in version 9 in 2004.  A social media analytics product was added in 2010.

Development of SAS:

SAS is a open  architecture it was re-design in SAS76.It allowed for compilers and procedures. The input and infile statement was improved by IBM frame work. SAS79 added support for the CMS operating system and introduce the data set procedure SAS version6 was used in 1960.It was  was available on a wider range of operating systems, including Macintosh, OS/2, Silicon Graphics, and Primos.

    

 Some of the points about SAS: 

    1.SAS introduced new features through dot-releases. From 6.06 to 6.09, a user interface based on the windows paradigm was introduced and support for SQL was added.

     2.Version 7 introduced the Output Delivery System (ODS) and an improved text editor.

    3. A free version was introduced for students in 2010

    4.  SAS Social Media Analytics, a tool for social media monitoring, engagement and sentiment analysis, was also released that year.

     5.Version 7 introduced the Output Delivery System (ODS) and an improved text editor. ODS was improved upon in successive releases.

SAS Software product:

SAS/ACCESS

Base SAS

SAS/CONNECT

DataFlux Authentication Server 

SAS Energy Forecasting

Conclusion:

 As we conclude this topic SAS is best one to used in both business and software process. As a conclusion both to this chapter and the book, it is worth noting that the world of business statistics is a lifelong journey of learning. Having read this book, the interested reader should transition to one of the many intermediate texts that deal with similar content and techniques but in greater detail.Although the central techniques of classical statistics develop slowly, there is rapid development in the business data space, analytics and storage technologies, processing methods like in-memory processing,and the soft skill required for business and analytics