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1.

What is SAS (Statistical Analytics System)?

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Many of us wonder 'what is SAS?', but in order to answer this question, we must first understand why SAS was developed in the first place. SAS (Statistical Analytics System) was developed as a means of handling tons of data generated each day in a systematic and organized manner. Its primary task is to create and analyze data followed by making strategic decisions. 

In short, a reason behind the development of data analysis tools like SAS has to do with the abundance of data that leads to data analysis, and SAS does it very effectively. Let's first discuss what SAS is before moving on to SAS Interview Questions.

SAS (Statistical Analytics System) is one of the leading analytics software tools and has been developed by SAS Institute. It provides users with the ability to alter, manage and retrieve different kinds of data from different sources, as well as perform statistical analysis on collected data. SAS software lets you perform a number of operations on data, INCLUDING data management, statistical analysis, report writing, business modelling, APPLICATION development, quality improvement, data extraction, and data transformation.    

As shown above, SAS extracts raw data from different sources, cleans the data, and stores or loads it in a database. SAS extracts and categorizes data in tables that help you identify and analyze data patterns. Using this tool will allow you to increase employee productivity and business profits through qualitative techniques and procedures like advanced analytics, multivariate analysis, business intelligence, handling data management functions, or predictive analytics. SAS is driven by SAS programmers, who perform a series of operations on SAS datasets in order to generate reliable statistical data reports for taking business decisions. Non-technical users have access to a graphical interface with point-and-click functionality and more advanced OPTIONS with SAS language.

In this article, we will discuss concepts on SAS ranging from freshers to experienced level, including reading and data manipulation, REPORTING, SAS macros, SQL queries, SAS programming, etc.