How to learn data science
The actual problem with learning "data science" is making inferences and conclusions which do not violate the laws of statistics.I've seen many submissions to Hacker News and Reddit's /r/dataisbeautiful subreddit where the author goes "look, the analysis supports my conclusion and the R^2 is high, therefore this is a good analysis!" without addressing the assumptions required for those results.Of course, not everyone has a strong statistical background. Except I've seen YC-funded big data startups and venture capitalists commit the same mistakes, who should really, really know better."Data science" is a buzzword that successful only due to obscurity and no one actually caring if the statistics are valid. That's why I've been attempting to open source all my statistical analyses/visualizations, with detailed steps on how to reproduce. (see my recent /r/dataisbeautiful submissions on reddit: https://www.reddit.com/user/minimaxir/submitted/ )