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SAS, which stands for Statistical analysis tool is a Business Intelligence tool that is used for data mining and analysis, reporting, predictive modeling, and econometric and time series analysis. As per an IDC (International Data Corporation) report, SAS has a 35% market share, more than double its nearest competitor, this itself the biggest reason to go for a SAS certification over any other big data or analytics certification. According to DexLab survey 2016, 69% of all business will hire SAS experts in the coming year, now this will be the second booster to the primary thought of go for the SAS Base Programmer Certification. The spread uses and accuracy of the SAS software has helped become SAS Labs and its software a second name of an Analytics, actually is has become synonyms. More than 90% of Fortune 500 companies use the SAS software making it one of the most powerful tools for data analysis. One can break into a career in SAS analytics by pursuing Base SAS certification.

In an era where the data is growing exponentially, businesses have to be smart enough and sort out what data needs to be retained and what should be scrapped. In fact, it is the most important determinant for defining the success of an organization. We all know that in any organization, there is a lot of data available, but not that all helpful. Albert Einstein was a genius and that’s why he had made this statement in that era which trues now as well. “Not everything that can be counted counts, and not everything that counts can be counted.”

Professional certifications in data science field serve as the ideal way to bridge the gap between academia and industry practices and knowledge. The certificates also provide tangible, third-party proof of your skills and allow you to position yourself right where you need to be for the next big job opportunity or promotion in the current job. As already agreed that the data science certificates are the real gap filler, this stands true for you irrespective of you being a fresh graduate or an experienced job seeker. Also, there is not a good time or bad time to get yourself certified in the field of data analytics.

The Benefits of getting yourself Certified are many, we can list some of them as below,

Leaders are those who lead from the front and guide the team to success, however, these leaders are changing human brains to artificial inelegancy. Yes, this the truth that data analysis is the key factor in any business, now as well as earlier. The main thing what is changing is the scope of the work and size of the data getting the process to get the Juice out.

Big Data is everywhere and there is an urgent need to collect and preserve whatever data is being generated, for the fear of missing out on something important. There is a huge amount of data floating around. What we do with it is all that matters right now. This is why Big Data Analytics is in the frontiers of IT now a day.

While reading to many blogs and question answer in many communities, what I keep encountering is the common question which is actually a myth about an Analytics Career. There are many aspirants may be dropping the idea of becoming analytics experts. So here we will discuss and try to find out the truth. So let us start. Here are some the myths I gathered to take on them:

You need to be an engineer to start a career in Business Analytics:

The truth is that you don’t. All you need is the ability to think structurally and comfort with number crunching. As long as you can put structure to unstructured problems and perform back of the envelope calculations, you are as good as any analyst out there. Having said that, companies prefer people from a quantitative background as they are expected to be better with numbers. By quantitative background, I mean people from any of these disciplines: Engineering, Economics, Maths, Statistics, Physics or MBAs with graduation in these fields.