The 4 Hats of a Full-Stack Data Scientist

How to become a data science “unicorn”

This is the first article in a larger series on “Full Stack Data Science” (FSDS). Although there are distinct roles for different aspects of a machine learning (ML) project, there is often a need for someone who can manage and implement projects end-to-end. This is what we can call a full-stack data scientist. In this article, I will introduce FSDS and discuss its 4 Hats.

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