In this Blog, we are going to talk about what is SAS, why we have to learn SAS, who can pursue SAS, SAS components, Lifecycle of SAS and the overview of SAS.
So, let’s get started.
Firstly, we will learn what SAS is all about?
SAS (Statistical Analysis System) is a software suite developed by SAS Institute for advanced analytics. SAS is an integrated system of software solutions that enables you to perform the following tasks such as data entry, retrieval, and management. Report writing and graphics design, Statistical and mathematical analysis, business forecasting and decision support etc.
And now we will discuss why we have to learn SAS
There are many reasons to say that learning SAS is important. Of them, the important reasons are
SAS software has proved itself as the market leader in providing a new generation of business intelligence software and services that creates true enterprise intelligence.
It has a large part to play in the future of analytics and big data.
It emerges as a key research data analysis tool; it is in demand in the market. Every company is looking for SAS resources.
The big advantage of learning SAS is that it is a fourth generation language.
Learning SAS will not make you abandon data formats you previously mastered or managed.
SAS is versatile and powerful enough to meet your needs in data analyses.
All Graduates & PGs from any discipline like Commerce, MBA, Medicine, MCA, Statistics, Engineering, Life sciences, Arts etc., can learn SAS.
However, having basic knowledge in statistics, SQL and programming is an added advantage.
Now we will discuss about the different Components of SAS and its uses.
Base SAS is a core component which contains data management facility and a programming language for data analysis.
SAS/GRAPH is used to create graphs, presentations for better understanding and showcasing the result in a proper format.
SAS/STAT is used to perform Statistical analysis with the variance analysis, regression, multivariate analysis, survival analysis, and psychometric analysis, mixed model analysis.
SAS/OR is used for Operations research.
SAS/ETS is used for Econometrics and Time Series Analysis.
SAS/IML is used for Interactive matrix language.
SAS/AF is used for Applications facility.
SAS/QC is used for Quality control.
SAS/INSIGHT is used for Data mining.
SAS/PH is used for Clinical trial analysis.
SAS/Enterprise Miner is used for Data mining.
Let’s understand the Lifecycle of SAS
The new release of SAS Model manager from the leader in business analytics makes it easier and quicker to register, validate, deploy, monitor performance and retrain models
You can evaluate monitoring result, identify the problem and we can also use the models in data exploration and data preparation.
Finally, let’s discuss the overview of SAS
There are three phases namely Compile phase, Executive phase and output phase
When the compilation phase is complete, the descriptor portion of the SAS data set, containing the variable names and their attributes, is created. If the DATA step successfully compiles, then the execution phase begins. During the execution phase, the DATA step reads and processes the input data line by line and in the output phase we get the final output.