From the course: Data Science and Analytics Career Paths and Certifications: First Steps
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Introduction to certifications
From the course: Data Science and Analytics Career Paths and Certifications: First Steps
Introduction to certifications
As the field of data science and analytics matures, we're seeing more certification opportunities becoming available. Just like any professionals out there, data scientists can establish more credibility in what they're capable of by earning well-known certifications in their field. There are myriads of certification opportunities available, and the number is growing as we speak. The key here is not how many certifications you have, but how many relevant skills you can demonstrate through the certifications you have. Many of the certifications also require significant industry experience. Therefore, it is important for you to pick and choose the best ones that fit your own needs. If you are a student who is about to graduate, your best bet would be certifications that do not require an experience in industry. If you are a working industry professional who is interested in enhancing your marketability, a more specialized form of certification may be appropriate. These can be directly…
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(Locked)
Introduction to certifications2m 42s
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Azure Data Scientist Associate certification47s
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(Locked)
Cloudera Data Platform certification1m 21s
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(Locked)
Dell Data Science track51s
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(Locked)
AWS and Google certification1m 49s
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SAS big data and data scientist certifications2m 18s
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Certified Analytics Professional (CAP)2m 4s
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