I’ve seen quite a few posts on Medium (and other platforms) giving a perspective on how to gain the necessary skills to be successful in Data Science. The typical contrast is a university degree vs. a bespoke collection of online credentials (via MOOCs, boot camps, etc.). As a faculty member at Vanderbilt’s Data Science Institute, I think I have a perspective on this decision that is less often heard online.
My background, in brief: In addition to three university degrees, I’ve also taken several online courses and have several credentials from a popular online coding school. I also now have about 20 years of (diverse) work experience, and so I know a fair amount about getting jobs, getting promoted, and being successful.

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