Big Data Top 5 Best Certifications for 2018
Posted by navya12 on August 13th, 2019
More and more companies are using Big Data , and the trend is not likely to reverse in 2018. However, these companies are struggling to find employees with sufficient skills to manage and analyze data. That's why big data experts are more sought after than ever before. According to Glasdoor, Data Scientists were the most sought-after professionals in the IT sector in 2017.
According to McKinesy, in 2018, he will miss up to 190,000 data scientists in the United States. Forrester Research also estimates that demand for data engineers will continue to grow in 2018. Companies are also looking for Data Architects, Data Analysts, and Database Administrators and Managers.
In this context, it is the ideal time to consider a conversion in the field of Big Data. If you want to go in this direction, here are the top 5 Big Data certification's offered by universities, companies or institutes for 2018.
Certified Analytics Professional (CAP)
It validates a general understanding of the seven steps in analytic processing: identifying a company's problems, identifying analytic problems, acquiring data, choosing a methodology, developing a model, deploying it, and finally managing that model throughout of its life cycle.
Candidates must have a master's degree in a discipline related to analysis, and an analytical professional experience of at least three years, or a bachelor's degree in an analytical discipline and a professional experience of at least five years. , or seven years of experience in the field of analytics without the need for a degree.
PGP in Big Data Analytics and Optimization (formerly CPEE)
These courses allow you to learn statistics, text and social media analysis, optimization, Machine Learning and Big Data Analytics. Candidates are assessed through an exam at the end of each module, daily quizzes and a realistic project. Admissions to the program are based on academic qualifications and professional experience but also on performance during an entrance examination.
MCSE: Data Management and Analytics
To qualify for this certification, candidates must have at least one of these MCSA certifications: SQL Server 2012/2014, SQL 2016 Database Administration, SQL 2016 Database Development, SQL 2016 BI Development, Machine Learning, BI Reporting, or Data Engineering with Azure. Candidates must also pass one of the 12 MCSE exams.
Oracle Business Intelligence Foundation 11g Certified Implementation Specialist
To receive this certification, candidates must pass the Oracle Business Intelligence Foundation 11g Essentials exam with a score of at least 63%. The exam consists of 75 multiple choice questions and must be completed in two hours. Oracle does not require candidates to take specific preparation courses, but recommends completing the Oracle Business Intelligence Foundation 11g Course Implementation Specialist Course or the Oracle Business Intelligence Enterprise Edition Plus Boot Camp Implementation.Also See: Big Data, Business Intelligence, Oracle Business, Sql 2016, Data, Candidates, Certification
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