From the course: 15 Mistakes to Avoid in Data Science

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Communicating with overly technical language

Communicating with overly technical language

From the course: 15 Mistakes to Avoid in Data Science

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Communicating with overly technical language

- So my name is Sarah Anstey and I'm a business intelligence architect at a cybersecurity consulting firm called Novacoast. So a common mistake that I see with a lot of data scientists or data analysts, is that they are trying to convey their findings in the data in a really technical or heavily statistically oriented way. To stakeholders who aren't able to speak that same language. So a lot of the time in data science and analytics, the people asking the questions and the people with the problems are high level managers. They're maybe on the C level or VPs, you know, people who are high up. Who one don't have much time to talk to you. So you have to keep it short and brief and concise. And two don't have a huge technical background. And if you can't relay what you found in a nontechnical way, that makes sense to them, then you might as well not have found anything. Because you can do the coolest data analysis, or write the…

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