Data Science Lessons We’re Not Learning Fast Enough

This is an excellent summary and reminder that the challenges with data science are not always to do with numbers. It has to do with understanding the context of what you are doing as a data scientist.

I’ve become much more attuned to the types of mistakes people make in applying, developing, and using data science when they start out. Sometimes these are purely technical errors, but more often, these mistakes result from more profound misunderstandings about how we can best leverage the increasingly more massive amounts of data available.