The data science industry is marked with all sorts of twists and turns when it comes to figuring out which certification suits you the best. It all depends upon the kind of designation that you want to build your career in. a big data engineer would definitely have a different set of responsibilities than those of a data that are soon to be a one-shot destination for a reliant career in the field of data science industry. let us have a look at what kind of certifications does it have on offer and how to go about choosing one for yourself:
Associate Big Data Engineer: this credential requires for the professional to have a prior knowledge of the principles, tools, and techniques pertaining to Big Data. Furthermore, they are expected to know the use of Hadoop Technologies and its applications. These applications include Pig, Hive, Sqoop, Flume, Yarn, Spark, Scala etc. common job roles in this profile may come to include, Hadoop development and implementation, pretty much everything to do with Hadoop applications.
Senior Big Data Engineer: this involves a comprehensive platform based learning of the concepts of Hadoop Technologies. This highly promising profile of the data science industry requires for the individual to transform business requirements into logical, conceptual & physical design. This is done for a variety of data types and volumes.
Associate Big Data Analyst: the analytics framework needs to be learned of in detail in order to be able to manage the chunk of data which is at the behest of a competitive organization. People who have completed their undergraduate degrees in Business, Management Marketing, Statistics, Mathematics, Economics or even Applied Mathematics are well positioned to take this up. Getting into the data science industry at this stage would be best provided by this credential.
Senior Big Data Analyst: a course that is assured to provide a quantum leap to the individuals, requires the professionals to learn R in great detail, which could then be leveraged for advanced analytics. It also enables them to get their hands on social media analytics, mobile analytics, and visualization.
With the kind of credentials that could be availed through DASCA for getting into the data science industry, there is no limit to the progress that one could hope to achieve. Furthermore, now is the time to decide upon this career stream as there are going to be a projected 15 million data science jobs by 2020.