From the course: Learning Data Science: Ask Great Questions
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Find errors
- Errors in the data are not necessarily the ones that will cause the most trouble. On a data science team, you might have a bigger problem with errors in your team's reasoning. An error in the data might be a setback. It could create a series of false reports. An error in your team's reasoning might set the team on an entirely different path. The whole team may spend weeks or even months looking in the wrong places. This will keep your team from asking interesting questions about the right things. You've seen how gathering good questions is like panning for gold. There are key phrases that you might want to clarify. There's also assumptions which might connect incorrect reasoning to false conclusions. Once you peel back these assumptions and clarify the language, you should be left with the bare reasoning. In many ways, now you're asking more difficult questions. You have to ask, is this reasoning correct? In general there are seven dangers you want to watch out for when you're…
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