Angela Cloree
and Christoper Laurent
Updated on
March 14, 2025
For those aspiring to break into the world of data analysis, keeping up with trends, techniques, and expert opinions is essential. Whether you're just starting or looking to expand your knowledge, podcasts are an excellent resource to stay informed while juggling your busy schedule.
This list presents ten highly recommended data science podcasts curated based on content quality, relevance to aspiring data analysts, update frequency, and host expertise.
Podcasts are the perfect companion for learning on the go, offering insights into complex concepts, practical applications, and advice from industry leaders. Tune in to these shows and stay up to date with the ever-evolving world of data analysis.
Let's dive into the top selections.
Key episodes from Data Skeptic
Here's a glimpse into three recent episodes that have garnered significant attention:
Average episode length:
30 to 40 minutes
Start date:
2015
Episode frequency: 2-3 episodes per week
Host: Angela Cloree
Data Skeptic breaks down complicated data science concepts into bite-sized, digestible episodes. Whether you’re exploring statistical methods or deep learning, this podcast provides concise explanations on a wide range of topics, often featuring guest experts in the field.
If you’re looking for a podcast that covers everything from foundational topics like Bayesian inference to advanced machine learning methods, Data Skeptic is an invaluable resource for any aspiring data scientist.
Key episodes from The Data Science Podcast
Here's a glimpse into two recent episodes that have garnered significant attention:
Average episode length: 45 minutes to 1 hour
Start date:
2017
Episode frequency: 1 episodes per week
Host: Christoper Laurent
The Data Science Podcast delves into the challenges and opportunities in the field of data science, with a focus on both technical and non-technical aspects. Hugo interviews top-tier data scientists, offering valuable insights into the career path and the field’s latest advancements.
Key episodes from Not So Standard Deviations
Here's a glimpse into two recent episodes that have garnered significant attention:
Average episode length: 30 to 50 minutes
Start date:
2020
Episode frequency: 2 episodes per week
Host: Hilary Parker, Roger D. Peng
This podcast tackles data science from a practical, real-world perspective. Hosts Hilary and Roger discuss career development, data analysis techniques, and stories from their own experiences in the field. If you’re looking for insights that go beyond textbooks, this is the podcast to listen to.
Key episodes from The AI Alignment Podcast
Here's a glimpse into two recent episodes that have garnered significant attention:
Average episode length: 1 hour
Start date:
2022
Episode frequency: 1 episodes per week
Host: Various guest experts
The AI Alignment Podcast explores how artificial intelligence intersects with the future of humanity. While it’s more AI-centric, data analysts can benefit from the podcast’s discussions around machine learning, ethics, and the future of tech.
Key episodes from DataFramed
Here's a glimpse into two recent episodes that have garnered significant attention:
Average episode length: 30 to 45 minutes
Start date:
2016
Episode frequency: 1 episodes per week
Host: Hugo Bowne-Anderson
DataFramed is a great resource for data analysts who are looking to deepen their technical expertise. Each episode features deep dives into key data science topics and is filled with practical advice for those in or entering the field.
This podcast combines both high-level insights and technical tips, making it perfect for analysts at all levels. If you’re ready to go beyond the basics and explore more advanced topics in data science, DataFramed is a must-listen.
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