SAS

How to Flourish as a Data Scientist and Data Analyst

As we all know the time is of DATA, there is no doubt in the mind when I say the boom in the data industry has driven and taken the demand for data science, data Analyst and Data engineers to the next level, across all industry verticals. There are job openings for data scientists, data engineers, and data analysts. And there seems to be a lot of confusion and lot many different opinions among people regarding the roles and skillsets driving this field. Here we will mostly discuss two major job titles, Data Scientist and Data Analyst.

Let us Understand the Main Difference Between Data Scientist and Data Analyst

I know many of you may not convince with this but yes, there are no defined skill-sets that can distinguish between the role of a ‘Data Scientist’ and ‘Data Analyst’. This is mainly because most of the companies have their own definition and role descriptions. In fact, different companies have different definitions for both these roles, and there is a lot of grey area in between the two job titles. Broadly analyzing, a Data Scientist is a professional who combines data handling and data visualization with sound business understanding to make smart business decisions.

Basic Concepts of SAS Programming

 

Here we have gathered some information for those students who have just started the journey of becoming SAS certified programmer. Believe me, when I have started my studies, this took almost a week of search on web and tons of reference books. Just putting all my research paper here for you guys. As a fresher programmer to understand the following basic point about SAS Programming console was a challenge.  

Components of SAS Programs

SAS programs consist of two types of steps: DATA steps and PROC (procedure) steps. These two steps, alone or combined, form most SAS programs. SAS program can consist of a DATA step, a PROC step, or any combination of DATA and PROC steps. DATA steps typically create or modify SAS data sets, but they can also be used to produce custom-designed reports. PROC steps are pre- written routines that enable you to analyze and process the data in SAS data set and to present the data in the form of a report. PROC steps sometimes create new SAS data sets that contain the results of the procedure.

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