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Which certification is best for big data?

Posted on November 13, 2019 by Author

Table of Contents

  • 1 Which certification is best for big data?
  • 2 Do you need certification to be a data analyst?
  • 3 Can you be a data analyst with a certificate?
  • 4 Are certifications enough?
  • 5 How much does big data certification increase salary?
  • 6 Is it worth getting a data science certification?

Which certification is best for big data?

Here are the top Big Data certifications that are the most sought-after in the industry.

  • EMC Data Science and Big Data Analytics Certification.
  • SAS Certified Data Scientist.
  • Data Science Council of America Certification.
  • Oracle Business Intelligence Certification.
  • Mining Massive Data Sets Graduate Certificate.

Do you need certification to be a data analyst?

If you’re interested in becoming a data analyst, or even just interested in adding some data skills to your resume, you’ve probably wondered: do I need some kind of data analytics certification? But here’s the honest truth: no, you do NOT need a certification to get a job as a data analyst.

What certifications do I need for data analytics?

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The top 11 data analytics and big data certifications

  • Associate Certified Analytics Professional (aCAP)
  • Certification of Professional Achievement in Data Sciences.
  • Certified Analytics Professional.
  • Cloudera Data Platform Generalist.
  • EMC Proven Professional Data Scientist Associate (EMCDSA)

DO I NEED IT certifications?

“You absolutely do not need IT certifications in order to advance your career or boost your earning potential,” say some other people, hands astonishingly bereft of paper. Professional Development and IT Training firm Global Knowledge recently released data on the 15 top-paying certifications for 2017.

Can you be a data analyst with a certificate?

After getting a foundational data analysis certification, like CompTIA Data+, earn a certification that prepares you for the role you want. For example, if you want to go into big data analytics, seek a big data certification. SAS Certified Big Data Professional is a great choice.

Are certifications enough?

If you’re seeking a junior-level position and want to quickly enter the workforce, a certification might be the path to take. An entry-level certification will enable you to skill up quickly and cost effectively. Certifications are also a good option to acquire in-demand job skills after you have earned a degree.

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Is Google IT professional certificate worth IT?

The Google IT Support Professional Certificate can be worthwhile for learners not ready to start their careers yet, too. “Since the program is (American Council on Education) certified, learners can earn 12 college credits or the equivalent of four associate degree-level courses,” Vandenbosch says.

Who should take the Big Data Engineer certification course?

The Big Data Engineer certification course is ideal for anyone who wishes to pursue a career in Big Data. There are no prerequisites to take this course, but prior knowledge of the listed skills and technologies are beneficial, including: What are the job opportunities upon completing this Big Data Engineer certification course?

How much does big data certification increase salary?

According to a Certification Magazine 2020 salary survey, over 42 percent of survey respondents got a raise within a year of completing a Big Data certification course. In addition, jobs in big data pay exceptionally well. A data architect can earn up to USD 190,000 per year, and a big data engineer can hit an annual maximum of USD 180,000.

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Is it worth getting a data science certification?

You should choose your learning platform based on the skills it teaches, not the certificate it issues, because recruiters just don’t care much about any data science certification. But that doesn’t mean certificates can’t be valuable!

What is the big data analyst credentialing program?

The Big Data Analyst credentialing track of the Data Science Council of America addresses credentialing requirements of trained professionals who specialize in managing the entire life–cycle of analyzing Big Data using advanced analytics tools and techniques on common and popular Big Data software and platforms.

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