The modern opinion on technology alongside the technology itself has evolved over the last decade. The key element to consider here is that time and tide waits for none.If you were a kid in the 90’s then you grew as much on Nintendo as you did on those coin-based gaming machines. Such an experiencing of transitioning tooplay-station-portables is fascinating,to say the least. The same shift has been channelized in businesses. Digitization has led to the advancement of big data. Therefore, it comes as no surprise that the new sector of big data technologies has seen the maximum growth and job generation.

Another fact that needs to be mentioned is that with a new field, have come new ways to enter it. Massive online open courses such as data science certifications, since we are discussing big data, have enabled I.T professionals who wanted to migrate from their fields to something which was more engaging. Vendors such as Coursera, Udemy and Edx all cater to an online audience which is on its toes to jump the bandwagon.Among them is a new but surely a vendor-neutral, player which is making headlines in the field of certifications. Data Science Council of America (DASCA) has something for everyone when it comes to certification in big data analytics. let’s discuss the ambit of its offerings in a somewhat detailed manner.

Associate Big Data Engineer –The first of its data science certifications,it has been designed for students who have just stepped outside their college dorms or are still pursuing the irundergraduate degrees. Specifically, for students of computer science or those doing a diploma in computer programming/software engineering. The students are much expected to be proficient in languages like PERL, RUBY alongside having complimentary knowledge in Linux or Unix platforms. A hands-on skill-set comprising of Core Javaand SQL statements would also be helpful.

Senior Big Data Engineer –For the ones already employed in the tech-space. The academic pre-requisites are pretty much the same as for the certification in big data analytics as above. The difference arises in the experience required. It may

Associate Big Data Analyst –People are advised to have majored in subjects like statistics, economics or applied mathematics in order to apply for it. Depending upon the track chosen, applicants may be asked for experience in business analytics/business intelligence. For further information, head to the detailed section of the website.

Senior Big Data Analyst– Among the senior level data science certifications, this is one of the best that’s out there. Requires of a bachelors’ degree instreams like social sciences, management orcomputer science. the training kits are sent to students upon successful registration.

Designed after relentless consultation with industry experts, the certifications of the Data Science Council of America (DASCA) have bench marked themselves as making an applicant’s career failure-proof. There’s only so much that we can capture in one post, head over to the website for a detailed plan, to set your career on the right path.

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