---
title: "My favourite data science podcasts"
description: "I was asked for some podcast recommendation, so here is my very short list ;)"
author: "Bartosz Mikulski"
author_bio: "Principal AI Engineer & MLOps Architect. I bridge the gap between \"it works in a notebook\" and \"it works for 200 million users.\""
author_url: https://mikulskibartosz.name
author_linkedin: https://www.linkedin.com/in/mikulskibartosz/
author_github: https://github.com/mikulskibartosz
canonical_url: https://mikulskibartosz.name/my-favourite-data-science-podcasts
---

I was asked for some podcast recommendation, so here is my very short list ;) Yes, I listen to only two podcasts, but I am open to recommendations ;)

## <a href="https://open.spotify.com/show/1BZN7H3ikovSejhwQTzNm4?si=zl577FVEQD-XWfQ904Z9GQ">Data Skeptic</a>

What I like:

* short episodes (perfect for 30–40 km long drive)

* only one topic per episode

* little side discussions and off-topic

* one topic per season (previously they talked about fake news, the current season is about natural language processing)

## <a href="https://open.spotify.com/show/02yJXEJAJiQ0Vm2AO9Xj6X?si=gx5WybfsQjGpvog7dZ1OXQ">Data Framed</a>

What I like:

* perfect for listening while cooking (one-hour-long episodes)

* diverse topics including the social impact of data science

* not focused on one topic

* good when you want to listen about data science usage in a particular industry or “scratch the surface” of something