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Six Hot Big Data Certifications for 2018

Skilled Big Data professionals will continue to be in high demand in 2018. Certification can give you an edge. These six credentials will help you sharpen your skills and be ready to compete for top jobs.

Which Big Data certifications should be at the top of your list in 2018?In 2018 (and beyond), an organization’s ability to innovate and grow will depend partly on its capacity to leverage, manage, and analyze big data. Relevant and timely insights enable companies to make correct business decisions.

 

A considerable number of enterprises, however, still face a skills gap in data management and analysis. It’s no wonder that the demand for high-quality data management and analytics professionals is so high.

 

According to Glassdoor, Data Scientist was the top IT role in 2017. McKinsey forecasts a shortage of up to 190,000 data scientists in 2018 in the United States. And a recent Forrester Research report states that the demand for data engineers will continue to increase in 2018. Enterprises are also looking for data architects, data analysts, database administrators and managers.

 

If you’re an IT professional with current big data capabilities, growth prospects are encouraging. There are an increasing number of big data certifications on offer from vendors, universities and institutes looking to address the growing demand for technical expertise.

 

Certifications demonstrate a holder’s understanding of specific tools, platforms and technologies and constitute one of the criteria for an employer to assess whether a candidate has the knowledge and real-world skills to help implement a company’s big data analytics plan and enable it to sustain a competitive edge.

 

Listed below are six of the hottest big data certifications:

 

1) Certified Analytics Professional (CAP)

 

The Certified Analytics Professional (CAP) certification is a vendor-neutral global qualification administered by the Institute for Operations Research and the Management Sciences (INFORMS). This certification is designed for candidates with experience in business analytics. It validates a general understanding of the seven stages of the analytics process:

 

● Framing business problems
● Framing analytics problems
● Acquiring data
● Selecting methodology
● Model building
● Deployment
● Model lifecycle management

 

Candidates must possess either a master’s degree in an analytics-related discipline and three years of professional analytics experience, or a bachelor’s degree in an analytics-related discipline and five years of work experience in analytics, or a non-analytics degree and seven years of professional analytics experience.

 

Additional eligibility requirements include previous or current employer’s endorsement of necessary soft skills and acceptance of the CAP Code of Ethics. The Cap exam is multiple-choice with a 3-hour duration and the credential needs to be renewed every 3 years.

 

2) PGP in Big Data Analytics and Optimization (previously CPEE)

 

This globally-recognized credential is offered by the International School of Engineering (INSOFE). It consists of an 18-week program available in Bengaluru and Hyderabad, India. Aspirants are required to complete 10 courses comprised of lectures and labs on analytics with an emphasis on Hadoop and Rtools.

 

The courses cover statistics, text and social media analytics, optimization, machine learning and big data analytics. Candidates are evaluated with exams at the end of each module, daily quizzes and a real-world culminating project. Admission to the program is based on academic qualifications and work experience as well as performance on an entrance exam.

 

3) MCSE: Data Management and Analytics

 

This certification has replaced the Microsoft Certified Solutions Expert (MCSE): Business Intelligence, which was discontinued on March 31, 2017. The MCSE: Data Management and Analytics credential prepares candidates for roles in database design, database analysis and business intelligence analysis. It certifies skills in SQL administration, developing data solutions for enterprises, and using business intelligence data for business growth in on-premises and cloud environments.

 

Candidates are required to earn at least one of the following MCSA certifications:

 

● SQL Server 2012/2014
● SQL 2016 Database Administration
● SQL 2016 Database Development
● SQL 2016 BI Development
● Machine Learning
● BI Reporting
● Data Engineering with Azure

 

They must also pass one of 12 MCSE elective exams. For your certification to remain valid, you will need to pass a different elective exam annually. Sitting for the annual exams also demonstrates your keenness to learn new technologies and augment your skills.