I should not start with this as we all know this, however, this always gives me a good start! : ) “SAS is one of the most popular Data Analytics tool currently available in the field.”

As the above statement is true, we can assume (it is fact indeed) that the demand of the SAS Professional in the market would be high almost every time. So those who are looking for the entry level or intermediate job in the SAS Data Analytics field, the most important is to clear a face to face interview or I would say to get oneself selected for the face to face interview. Establish self in the right position to get SAS used as propeller for your career flight as SAS is easy to learn and provides an easy option (PROC SQL) for people who already know SQL. SAS is on par with all leading tools including R & Python when it comes to handling huge amount of data and options for parallel computations. Globally, SAS is the market leader in available corporate jobs, and if we go by country, in some countries SAS has market share as high as 70%. If you are planning to build career in the field of Data Analytics with SAS technologies, we feel this is the right most time to start with SAS Certification Training. As we move ahead in this article, we will discuss some of the features and some of the common areas which will be very hand for those preparing for the career launch and getting ready for the upcoming interviews.

As we keep receiving many queries on the difference between some of the most popular SAS certifications. And most of the time we also get some confused students, who end up choosing wrong certifications. Although, all of the SAS certifications are different, however, many of them over loop each other in term of the body of knowledge. Say SAS base and Clinical Trials has some topics in common. In this article, we have tried to cover almost all popular certification from the most prestigious analytics organization

I feel blessed being a techie in this era when the technologies are evolving at the supper speed. It is not just the technology is getting improved, but also the corporate mindset changing a lot and going towards more technology to make their business bigger and more successful. Big Data analytics, for instance, has grown substantially in the last couple of years that every company – from startups to tech giants are now incorporating the technology into their everyday operations.

Who Is a Data Analyst?

A data analyst is an artist, someone who collects (Sometimes not collect but just receives collected data), organizes, and analyzes large sets of data to identify some hidden facts that cannot be ignored, he identifies patterns, defects, possibilities, opportunities and other useful information to make the data-driven future. Data mining and data auditing are must have skills to become a Data Analyst. If you intend to become a successful data analyst, you must start by ensuring a good knowledge in technology, business intelligence, data mining, data auditing, mathematics, statistics and another bunch of analytics skills which include:

1. Programming Languages

You need to be familiar with some computer software and scripting languages like Matlab and Python to find significant insights, statistical languages like R, SAS, and other computer skills include JavaScript, XML, and so on.

Base SAS certification is officially known as “The SAS Certified Base Programmer for SAS 9 credential” is a certification for beginners in SAS programming. This certification requires knowledge and experience of SAS ver 9.3 and is one of the essential requirements for many other advanced SAS certifications.

The SAS Foundation has been offering various certifications in SAS based analytics for many years now. Till date, the SAS certifications are the most recognized credential in analytics. There are many different SAS certifications on offer.