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Six Niche Big Data Certifications

The right Big Data certification can lead to a great job.To earn this certification, you need to pass the specified specialty certification exam. An exam guide and sample questions are available on the AWS website. AWS also offers a self-paced, Digital Data Analytics Fundamentals course and a classroom Big Data on AWS course.


AWS Specialty certifications are valid for three years. You will need to recertify to maintain your certification.


Certified Analytics Professional (CAP)


This vendor-neutral credential from INFORMS is intended for experienced professionals who wish to specialize in analytics. CAP demonstrates advanced knowledge of analytics, which includes articulating   business problems, as well as real-world application of analytics, data, developing models, deployment, and lifecycle management.


CAP has ANSI and ISO accreditation. According to Analytics Magazine, more than 20 percent of Fortune 100 enterprises employ CAP certified professionals.


To earn this certification, you need to fulfil specific education and experience requirements, formally accept the CAP Code of Ethics, and pass the CAP exam. You need to register on the site in order to avail of the sample exam, CAP Study Guide, and webinars, and join the CAP Study Group.


You will need to renew the certification every three years by earning professional development units.


Oracle Business Intelligence Foundation Suite 11g Certified Implementation Specialist


This specialist credential is suitable for mid-level BI implementation professionals who have hands-on experience with Oracle Business Intelligence Suite applications. It is primarily intended for Oracle Partner Network members involved in sales and implementation of this technology.


The certification validates advanced skills in installation of Oracle Business Intelligence Suite, building the BI Server metadata repository and BI dashboards, developing ad hoc queries, defining security settings, and managing cache files.


Oracle recommends real-world experience and current training. You need to pass one two-hour exam with a passing score of 63 percent or better.


Preparation options include the Oracle Business Intelligence Enterprise Edition Plus Implementation boot camp for Oracle Partners only, the Oracle Business Intelligence Foundation 11g Implementation Specialist, Oracle BI 11g R1: Build Repositories, and Oracle BI 11g R1: Create Analyses and Dashboards courses.


Data Mining and Applications Graduate Certificate


This graduate certificate offered by Stanford University has a data mining and machine learning focus, both of which are critical skills when it comes to working with huge volumes of data. This credential demonstrates the ability to apply these skills in developing solutions for business as well as science and technology.


Students learn how to use statistical methods to derive insights from Big Data, build and implement predictive models and analytics, and understand how to use Big Data applications to enhance strategic decision making.


This program is intended for researchers in medicine, science, and social sciences, strategy managers, data analysts, and marketing professionals. Prerequisites for application include introductory courses in three specific fields: statistics or probability, linear algebra, and computer programming, and a conferred bachelor’s degree with a GPA of a minimum of 3.5.


To earn this credential, you need to complete your first course, which will either be STATS202 or STATS216, with at least a B+. Once you achieve this, you can progress to the other courses, which you must complete with at least a B.


The average time taken to earn this certification is one to two years. Students are allowed a maximum of three years to complete the certification process.


More Options


Other intriguing Big Data certifications include EMC Proven Professional Data Scientist Associate (EMCDSA), Certification of Professional Achievement in Data Sciences from Columbia University, Microsoft Professional Program in Big Data, IBM Certified Data Architect, and Cloudera Certified Professional Data Engineer (CCP Data Engineer), to name a few.



Reena Ghosh is an independent ghostwriter who writes promotional, developmental and explanatory content for individuals and businesses. She came to professional writing with work experience in financial services operations and corporate communication. Reena speaks three languages and hopes to learn Sanskrit.