In my opinion, the "for hackers" title is in reference to multiple books that have been released with the "X for hackers" that targets people with hacking skills but do not have a formal background in X.
EDIT:
I'm not the author, but you can find Bayesian Methods for Hackers (free, released by the author) at the link below. I think it's a great resource for anyone wanting to explore Bayesian methods using Python.
It's actually the opposite: the "hacking" is used to provide better data and analysis using programmatic techniques (bootstrapping, cross-validation) than just by taking a spot average in Excel as gospel.
I've seen many, many data scientists from startups write blog posts with skewed data without using such techniques and failing to identify the potential statistical problems.
Why are you so angry? He gave a talk and released the slides because he thought people may benefit from it - given Jake's (the speaker) background and skills, I would say he's doing everyone a favor by publicly releasing this.
Sometimes you can get a well-defined problem, but finding the "right" analytical solution will take you days of reading up on it, and the chance of getting it wrong is relatively high. Especially if you don't have someone with strong mathematical/statistical background to review your work.
In those cases, finding a programmatic hack around it is a very good approach for giving you reasonable results in a shorter timeframe.
