Why writing is crucial for technical roles, and how to get good at it
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“Why is my manager nitpicking my write-up? What difference does it make changing the wording from X to Y?”
You have probably caught yourself thinking this when you see your managers’ numerous suggestions all over your document; I know I have. In fact, I used to think that writing is the most trivial part of the job of a data scientist; because the analyses and numbers should speak for themselves right? Wrong!
Over the last years, I have realized that writing is an essential skill for data scientists, and that the ability to write well is one of the key things that sets high-impact data scientists apart from their peers.
In this article, I will first convince you that writing is at least as important as your technical skills, and then give you concrete tips to help you improve your writing.
Why is writing so important for data scientists?
1. It’s used everywhere in the corporate world — I have highlighted the importance of communication in my previous articles and like it or not, majority of communication in the corporate world happens in a written form. From project-scoping documents to weekly…