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The Non-Technical Skills of Effective Data Scientists

During this linkedin learning, I learned about some of the soft skills needed to be a successful data science.

Key points covered were: How to interact with managers, how to solve data problems, what the steps of data science are, and the importance of being consistently curious.

The author also stressed the importance of these nontechnical skills overall. While hard skills are important, soft skills allow you to use your hard skills in unique, helpful, and efficient ways. Without these soft skills, you end up making complex or different tasks harder, because you do not know the scenario.


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