Written Communication: The Other Data Science Skill You Need

with 12 examples from my Data Science career

John DeJesus
Towards Data Science
7 min readFeb 28, 2021

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Photo by Glenn Carstens-Peters on Unsplash

None of the Data Science technical skills are as valuable as communication. It’s great if you were able to use the latest NLP transformer on your data set or you got a fancy visualization to display your data in a new light. Those are awesome accomplishments! But what if you can’t communicate the value of the results behind that transformer? What if your audience can’t understand your visualization as it is? If you can’t communicate the value, these techniques won’t do much aside from providing practice and potential future experience.

Photo by Sharon McCutcheon on Unsplash

In this article, I will focus on written communication. This is the easier of the two to practice if you aren’t in the field yet and considering the limitations of the current pandemic (if you are reading this in the future hopefully it is over). I will illustrate the need for written communication with you through 12 examples from my own data science career. Some of these you can start practicing on your own without a career. So let me open the door for you and start going through them!

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