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The world of data science podcasting has become as varied as the input parameters to a Linear Regression model. From household names like More or Less or Freakonomics to less known up-and-comers like Big Data Beard, data professionals are sitting up from their computers to talk about business, the future of AI, data in the real world and much more ... if you know where to look.

We’re pretty keen on podcasts and data science - in case you didn’t know already - so we’ve curated a detailed list of the best data science podcasts to follow in 2022. Here it is inside an Airtable!

https://airtable.com/embed/shrXwxTL1k1EP8U0B?backgroundColor=orange&viewControls=on

We used followers and subscribers in related social media accounts as proxies for audience size.

The Highlights

01. Freakonomics

Data Stories in the Real World

We love this podcast. A spin-off from the 2005 Freakonomics book from Stephen Dubner and Steven Levitt, Freakonomics Radio (hosted by Dubner) is a weekly show using data, expert interviews and a strong dose of scepticism to expose "the hidden side of everything". After 10 years on air, the show is now one of the most popular podcasts in the world.

In one of our favourite episodes, Dubner and Levitt talk about how revolutionary would be to get rid of the “geometry sandwich” and instead have kids learn what they really need in the modern era: data fluency.

America's Math Curriculum Doesn't Add Up - Freakonomics

02. Data Stories

Data Visualisation

One of the oldest data podcasts we’ve been listening to, Data Stories started podcasting before it became cool. The hosts Enrico Bertini and Moritz Stefaner are both well respected data visualization researchers but also work on freelance data science projects. They always attend the IEEE VIS conference (an event at the forefront of data vis academia) and we find episodes like this one a useful way to hear about conference highlights.

Generally structured around interviews with other data vis professionals, Data Stories offers the best way to keep up to date with developments in the data vis field. We also love to see Europeans collaborating with one another.

162 | Highlights from IEEE VIS'20 with Miriah Meyer and Danielle Szafir