This talk was great, especially its focus on non-parametric techniques. A lot of people are mislead by the traditional statistics approach, where it looks like stats is about memorizing a relatively short list of (really scary) formulas that let you compute one or another thing. People do not think about how these formulas come about, and the simple ideas behind them.

On the other hand, I think there is not enough written about how to do statistics with real, large, complex data sets. I tried to write something like this (https://pavpanchekha.com/blog/stats1.html) but of course the difficulty is that investigating a complex dataset is by definition too complex to really fit into a blog post. In a large dataset, the difficulties are the how and when you make decisions about what to analyze.