4 Essential Skills Often Underestimated by Data Scientists

4 Essential Skills Often Underestimated by Data Scientists

In this article, I will go through some skills that I believe are essential for a data scientist to has in order to excel in their career. Most of these skills are soft skills with one technical skill that seems to be overlooked most of the time.

Whenever you look up a roadmap to becoming a data scientist, you are often faced with a list of technical skills that you need to develop and grow in order to start your career. However, most of these guides often miss — or neglect on purpose — are equally as important as all the technical skills but often go underestimated.

A data scientist or a developer is more than just a programmer or a data miner; they are a mix of different roles all in one. They are a little bit of business planers, science communicators, analysts, and idea generators.

Being a data science goes beyond writing models with high accuracy; it goes beyond sitting in front of a computer, learning how to code, how to use a specific model, or read the latest research in the field.

In this article, I will go through some skills that I believe are essential for a data scientist to has in order to excel in their career. Most of these skills are soft skills with one technical skill that seems to be overlooked most of the time.

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