Identity Crisis in Data Science

Anyone else confused where they fit in data science? There's a huge range of backgrounds, from bootcamps to Ph.D.s. I've found DS quite unwelcoming because of this. Everyone is trying to distinguish themselves from the "fakers," while most companies needs are quite basic.

I've been working on a DS master's degree for a year. I certainly know more than the typical data analyst or self-taught MOOCs student, but I'm overwhelmed by the interdisciplinary nature of the field. I've invested countless …

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