From the course: Learning Data Science
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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 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 them from asking interesting questions about the right things. You have key phrases that you might want to clarify. There are also assumptions that might lead to false conclusions. Once you peel back the assumptions and clarify the language, you should be left with the bare reasoning. In many ways, now you're asking more difficult questions. You need to ask, is this reasoning correct? In general, there are seven dangers that you want to want to out for when you're questioning another team member's reasoning. First, watch out for ad hominem or personal attacks. You…
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