From the course: 15 Mistakes to Avoid in Data Science

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Overpromising solutions to stakeholders

Overpromising solutions to stakeholders

From the course: 15 Mistakes to Avoid in Data Science

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Overpromising solutions to stakeholders

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- As a data scientist, I do think a lot of the times data can solve a lot of problems and it can at least tell you where the problem is and why it's occurring. But one thing you have to be really clear about to your stakeholders is I might be able to tell you what the problem is, and I might even be able to look at past trends and try to predict a solution based off the past data, and that doesn't mean I'm implementing a solution for you, it doesn't mean I'm really telling you one way or another what you should do. As a data scientist, I think your job is to report the unbiased data to the stakeholder in a way that they can understand it. And then from there, they can figure out how they need to pivot. And part of it sometimes is recommending things to them, but you really have to find that fine line between this is what the data's telling me, so I do feel comfortable recommending this versus the data's telling me this is…

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