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The Data Science Era

Data science is about seeking new knowledge from prevailing information. It requires curiosity, an inquisitive mind, and the readiness to take on a challenge. Grasping new skills and considering new viewpoints all the time is what it takes to succeed in this field. Think of professional certifications as something you can use to bridge the gap between academia and actual industry practices. They also provide tangible, third-party proof of your skills and allow you to position yourself strategically for your next job, promotion, or career move. Wherever you are in your career, you’d be smart to stack up a few certs relevant to the kind of work you’re doing, or the kind of work you want to do. In the world of data analytics where professionals are measured in terms of how far ahead of the game they are, any time is a good time to think about certification.

Analytics become so come that everywhere you go, you hear about analytics in even daily and routine life. It’s one of the most popular buzzwords today – with merit. Analytics is changing the way people do business. Its impact is parallel to the uprising brought about by electricity or the Internet. It’s transforming every aspect of today’s business as well as our lives. Analytics has incredible supremacy. It can change the fate of nations or of the multi-billion dollar companies. But, in common vernacular, analytics is a nebulous term. So,

Analytics is?

“The application of a sequence of algorithmic steps or revolutions to generate comprehensions from processed datasets.”

Big Data and Business Intelligence are domains that shall go hand in hand for a long time. BI pioneers SAS, and MapR – The most trusted service provider for Google and Amazon Technologies – have recently signed a pact to further the efficacy of Big Data. This post takes a look at what this new partnership entails for the end user.

SAS Certification

Since inception, the senior management team from SAS has to lead the organization not just producing best products but to make the company the best place to work with an emphasis on culture that balances work and personal life and encourages employees to take leadership. This was noticed by many organizations such as Fortune and the Great Place to Work Institute and they named SAS as the best place to work, also SAS got the fourth rank in Fortune magazine's top 10 list of best companies to work for in 2015. The company's low employee turnover rate is a proof of the above reorganizations & company’s commitment to its employees and, indirectly, to its customers as well. From top 100 Fortune Global 500 companies, 91 are SAS customers. SAS customers span the globe with more than 80,000 instances installed in 148 countries.

When interviewing for a data scientist position, The interviewer will quickly discover a lot about the candidate. An ideal data scientist’s skill set spans math, statistics, programming as well as databases, and business expertise. They need to probe each of these areas and also want to find out if they are smart and get things done on their own. Normally the interviewer typically only have an hour to get a feel for how a candidate fares in each of those areas (followed a week or two later by a case study if the interviewer thinks the candidate has potential). As you can imagine, this makes for an intense interview.