Top Big Data Certifications That Will Boost Your Career in 2019


Big data has been making strides around the world. Companies are jumping on the bandwagon to make the most of it. Deluge of data in the industry has forced industry to find better ways to make better use of it. Traditional excel-based analytic techniques have been overtaken by more precise and better result giving Big Data techniques. According to a CXO report, Big Data industry will grow two folds by 2020.

This presents a good opportunity for analysts and any one in the Big Data field to further grow in their career. There are lucrative opportunities in this field, which pay way more than other roles in IT. On top of this, worldwide shortage of analytics professionals has also the bars for salaries and experienced professionals are seeking hefty sum in return.  If you’re looking to get into Big Data or further grow in your competence, this post lists some top Big Data certifications that are available in the market. You can pursue these to get better at your skills or find better opportunities, as these are globally recognized credentials–

  1. Certified Analytics Professional (CAP)
    This analytics credential is offered by INFORMS ( The Institute for Operation Research and Management Sciences). This certification equips candidates with skills in Business Intelligence, data science, Test model analytics and other four areas.

In order to take this certification, you need at least 5 years of professional experience in analytics. You must have a bachelor’s degree or minimum three years of experience with a master’s degree.

  1. Senior Big Data Analyst
    This is offered by DASCA ( Data Science Council of America ). It is meant for professionals who are looking to accelerate their career in analytics. The certification equips candidates with R and Python programming and tools like Hive, Pig, Flume, etc. This is one of the most prominent Big Data Certifications available across the world.

To take this certification, you need to have a bachelor’s degree in analytics, computer science, engineering, statistics, mathematics, finance, or any closely related field and minimum 2 years of experience working in this field. If you have master’s in statistics, mathematics, computer science, you can still go for it. With master’s experience isn’t mandatory. However, basic proficiency is required.

  1. IBM Certified Engineer – Big Data
    This certifications tests a candidates proficiency in tools such as BigSQL, Hadoop, Data modelling and others. Overall, the test for this certification assesses a candidates’ ability to build, deploy, maintain, and test big data solutions for enterprises.

To obtain this credential, you have to take the Test C2090-101: IBM Big Data Engineer exam.

  1. Cloudera Certified Professional : Data Scientist ( CCP: DS)
    This certification is meant for senior analytics professionals in the industry. It covers advanced analytical techniques, machine learning, visualization, and other complex data modelling techniques.

For this certification, you should have extensive experience in data science.

  1. Microsoft Certified Solutions Expert: Data Management & Analytics

Microsoft offers a handful of certifications in data related skills based on candidate’s proficiency in its propriety cloud technology Azure. Certifications are available for professionals at all levels, irrespective of experience. Expert level certification in data and management requires 2- 5 years of hands-on professional experience.

All certifications on this list are well-known and recognized globally.  Some world’s leading Big Data professionals and Data Scientist hold the above credentials.