How to learn data science
The actual problem with learning "data science" is making inferences and conclusions which <i>do not violate the laws of statistics</i>.<p>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.<p>Of course, not everyone has a strong statistical background. Except I've seen <i>YC-funded big data startups and venture capitalists</i> commit the same mistakes, who should really, really know better.<p>"Data science" is a buzzword that successful only due to obscurity and no one actually <i>caring</i> 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: <a href="https://www.reddit.com/user/minimaxir/submitted/" rel="nofollow">https://www.reddit.com/user/minimaxir/submitted/</a> )