Twelve Myths About Data Science
With Ben Sullins
Liked by 770 users
Duration: 36m
Skill level: Beginner + Intermediate
Released: 1/10/2017
Course details
In this course, Ben Sullins debunks 12 common misconceptions within the field of data science. Busy engineers, data miners, programmers, and other systems specialists who want to bolster their skills can benefit from Ben's succinct, practical insights. Separate data science fact from fiction, and learn what big data actually is, and why—contrary to what media coverage often suggests—it's not a singular thing. Ben also explains why big data can't instantly yield great insights, how to make analytics clearer, when to replace your relational databases, and more.
Skills you’ll gain
Earn a sharable certificate
Share what you’ve learned, and be a standout professional in your desired industry with a certificate showcasing your knowledge gained from the course.
LinkedIn Learning
Certificate of Completion
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Showcase on your LinkedIn profile under “Licenses and Certificate” section
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Download or print out as PDF to share with others
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Meet the instructor
Learner reviews
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Carl E. B.
Carl E. B.
Information Technology with Concentration in Network Administration student at AIU, Customer Service, Service DeskIT
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Adrienne B.
Adrienne B.
Business Systems Architect | A problem is an opportunity in need of a solution. My passion is to find solutions.
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Carole Dodds
Carole Dodds
open to work
Contents
What’s included
- Learn on the go Access on tablet and phone