Rattling My Headbones

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I lived in Spokane for a couple years, and I spent a lot of time biking on distraction-free trails. During that time I marathoned every available episode of Radiolab, and since then I’ve become a bit of a podcast junkie. I don’t have much time to watch TV or read recreationally these days, so instead I listen to podcasts whenever I don’t need my brain for something—on walks, doing the dishes, etc.

Diving headfirst into data science meant, among other things, adding a few new podcasts to the list. So here’s what I’ve been listening to. (I promise there will be some technical stuff one of these days.)

Data Skeptic

Screen Shot 2016-06-06 at 11.15.28 PMHalf interviews with industry professionals and academics, half explanatory mini-episodes on specific technical topics. Sometimes Kyle tries a little too hard to appeal to the layperson, but there’s a lot of interesting content.

Screen Shot 2016-06-06 at 11.18.35 PMData Stories

An interview show covering a wide range of topics, but focused on visualization (and, this week, sonification), and the designers and technologies that enable better data communication.

cover170x170O’Reilly Data Show

I would imagine that O’Reilly Media has the contacts to get just about anybody in the interview chair. Often it seems to be people from companies that host Ben Lorica advises, but there are a lot of high-tech topics covered (by which I mean things I don’t really understand).

Screen Shot 2016-06-06 at 11.16.10 PMLinear Digressions

Linear Digressions is (*gasp*) NOT an interview show. Instead, it’s just two hosts talking about machine learning algorithms and analysis techniques in the context of interesting real-world problems. Ever wonder about the technology behind freeway onramp metering? Neither did I. But it turned out interesting!

Screen Shot 2016-06-06 at 11.19.01 PMBecoming A Data Scientist

Aaaaaand back to interviews, but with a slightly different track. Renee Teate has a whole host of websites dedicated to helping new data scientists learn, and the podcast talks to established professionals and students alike about the path that brought them to the field.


Alright, I better go compose something with beeps and boops. Just in case I ever start a data science podcast, I want to make sure I have theme music that meets the community standards ready to go.

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