From the course: 15 Mistakes to Avoid in Data Science

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Lack of documentation

Lack of documentation

From the course: 15 Mistakes to Avoid in Data Science

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Lack of documentation

“

- So as a manager of data scientists, one of the hardest things to see is the lack of documentation. This is a really common problem among data scientists, and it's because we're always thinking so fast, right? We want to iterate, we want to get through, we want to answer questions, but if you don't document what you're doing, then you can't ever go back and say, "Oh yeah, I did try that out, it didn't work". When you document and you make your work reproducible so that anybody could go back and see it, it's just like research or science or doctors when they publish papers. You need to make sure that somebody else can go back and do the exact same thing you did and get the same answer, because if not, then we're relying on just you to have that information. Reproducible data science I think is a big development aspect for all data scientists. We all start learning the basics of programming and coding and how do I clean…

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