Interesting view, I'm curious about what you mean when you write, "In my experience, the best solutions are often the craziest." Do you mean having unique mindsets/strategies in approaching problems? Can you explain more about "craziest" types of solutions?
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Yes. One thing I dislike about data science/data analysis MOOCs is that they imply that there is a best way / one way to solve a given problem with a given dataset. The real world is much more messy (data cleaning, data pipelining, data normalization, etc.), and on the statistics side, solutions to problems often come from the weirdest places (in my case, it's often where there's a hole in the data).