Big Data can be defined simply as those large sets of data which cannot be analysed through traditional data processing methods. With the growth of the internet, most organisations are faced with the challenge of storage and analysis of the huge amount of information that is being generated in their daily activities. This has led to them adopting big data Analytics to extract meaningful information from these data.

Though big data is becoming an increasingly common term nowadays, the technology is still in its infancy in India. It is expected that the big data industry is going to increase twofold by the year 2020. CXO Today has mentioned in one of its articles that India alone is going to face a shortage of 200,000 data scientists in the recent years. This proves to be a huge boon for those who are already in big data/data science or planning to start a career in that field. There will be lots of opportunities in big data in the future and with the scarcity of expert professionals, you can expect lucrative job offers.

The best way to demonstrate your mastery in big data is to acquire the right credentials. The easiest way is to get a certification in the field. This will help you to get the right skills and knowledge for you to shine in big data. Here are top ten certifications in big data that will help you to advance your career:


1) Certified Analytics Professional (CAP)


The Certified Analytics Professional (CAP) is a professional certification for analytics professionals. Developed in the year 2013, the certification was launched by The Institute for Operation Research and Management Sciences (INFORMS). This certification tests the candidates on various areas like Business Intelligence, Data Science, Test Analytics Model and other related topics. CAP examines the knowledge of a person across seven domains.

Eligibility criteria/Prerequisites: It is designed for analytics professionals in their early to mid-career. You must have a bachelor’s degree with 5 years of professional analytics experience or a master’s degree with 3 years of analytics experience.

2) MCSE: Data Management and Analytics


Microsoft Certified Solutions Expert (MCSE) offers a globally-recognised certification in Data Management and Analytics, which will help you to demonstrate your skills sets in QL administration, building enterprise-scale data solutions, and leveraging business intelligence data. The certification covers various topics like developing Microsoft SQL server databases, cloud data solutions, big data analytics and related areas.

Eligibility criteria/Prerequisites: To be eligible for the certification, you must pass one of the MCSA certifications — MCSA: SQL Server, MCSA: SQL 2016 Database Administration, MCSA: SQL 2016 Database Development and MCSA: SQL 2016 BI Development.


3) SAS Certified Data Scientist


SAS (earlier known as ‘Statistical Analysis System’) offers a prominent certification program in Data Scientist. This certification has been designed to benefit those who want to develop advanced knowledge and skills necessary to work as a data scientist. It offers both a classroom and blended learning method, and a certification accepted across the industry.

Eligibility criteria/Prerequisites: It is recommended for, but not necessary, you to have a master’s degree in a quantitative or technical field. You need to have at least six months of programming experience in SAS or another programming language.


4) Collabera Big Data and Hadoop Developer


This Big data certification program by Collabera will help you to test your skills and knowledge on key ideas and proficiency for managing big data with Apache’s open source platform – Hadoop. You will get to learn various tools and technologies associated with the field and become a certified Hadoop professional. The certification will help to boost your career to new heights.

Eligibility criteria/Prerequisites: You must have basic understanding of core Java


5) IBM Certified Data Engineer – Big Data


This certification is offered by IBM Professional Certification Program and assesses a candidate’s ability to develop, maintain, test and evaluate big data solutions within organisations. It covers various a plethora of topics in big data like BigSQL, Hadoop, Data Modelling, and other areas.

Eligibility criteria/Prerequisites: You need to pass the Test C2090-101: IBM Big Data Engineer exam to get the certification.




6) EMC Data Scientist Associate (EMCDSA)


The aim of the certification is to test the candidate on his/her ability to contribute as a member of a big data science team. EMC offers a training course that will help the candidates to gain the skills needed to immediately and effectively participate in big data and other analytics projects.

Eligibility criteria/Prerequisites: N/A


7) Certificate in Engineering Excellence in Big Data Analytics and Optimization (CPEE)


CPEE, offered by International School of Engineering (INSOFE) offers a globally accepted certification program in Big Data. INSOFE provides an intensive 18-week program that trains candidates on all aspects of analytics, including working with big data using Hadoop.

Eligibility criteria/Prerequisites: An entrance exam is held, which you have to pass to be eligible for the course. Upon completion of the course, the certification is awarded.


8) Cloudera Certified Professional: Data Scientist (CCP: DS)


Cloudera offers this certification to those professionals who have demonstrated their skills in working with data at an elite level. This certification covers areas like advanced analytical techniques on big data, machine learning, and other related areas.

Eligibility criteria/Prerequisites: You should in-depth experience as a practising data scientist and a high-level of mastery in the field.


Also Read>>How are Data Scientist and Data Analyst different?


Choose from one of the above Big Data Certifications as per your skills and requirements to boost your career. You can also go for a learning course in big data (given below) to get the required skills necessary to acquire one of the coveted certifications mentioned above.


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