20 Data Science Podcasts to Listen to in 2021

Written by Coursera • Updated on Jun 30, 2021

Find your next data science listen from this list of current podcasts.

A man stands outside a building holding a to-go coffee and listening to a podcast on his phone

Whether you’re looking for a way to build up your data science vocabulary, keep up with the latest developments in the field, learn new data skills, or even get advice on getting your first data science job, there’s a podcast for that. 

Listening to some of these 20 podcasts can be a great way to improve yourself as a data professional, whether you’re just starting out or are already a seasoned pro. The best part? You can squeeze in some listening when you’re cleaning the house, grocery shopping, exercising, or otherwise on the go.

We’ve divided this list into a few broad categories to make it easier for you to find what you’re looking for. At the time of writing, these podcasts are all active and in production.

Read more: What Is a Data Scientist? Salary, Skills, and How to Become One

Podcasts to get an overview of data science

Whether your interest in data science is academic or professional, these podcasts offer a broad, high-level overview of a range of data topics. This is a good place to start if you’re new to data science or if you want a little of everything in your podcast listening.

1. The Digital Analytics Power Hour

Episode duration: About an hour

Frequency: Biweekly

The premise of this podcast is that the best, most informative discussions happen around drinks after an event, like a conference or show. Co-hosts Michael Helbling, Tim Wilson, and Moe Kiss share their thoughts on a different data topic each week, from the psychology of data analytics to making statistics more accessible.

Recommended episode: The Curiosity of the Analyst with Dr. Debbie Berebichez

2. Data Skeptic

Episode duration: 30 to 40 minutes

Frequency: Weekly

This popular data science podcast, hosted by Kyle Polich and (sometimes) Linh Da Tran, covers a wide range of topics, including machine learning and artificial intelligence, and statistics. The library of some 370 episodes and counting alternates between mini episodes that cover high-level topics and longer, more in-depth interviews with practicing data scientists.

Recommended episode: Data Science Hiring Processes

3. DataFramed

Episode duration: 45 minutes to an hour

Frequency: Biweekly

In this podcast from DataCamp, host Adel Nehme interviews data leaders working in both industry and academia about all things data science—its past, present, and future, as well as the types of problems data science can solve. Older episodes were hosted by data scientist and writer Hugo Bowne-Anderson.

Recommended episode: The Past and Present of Data Science (with Sergey Fogelson)

4. Data Science Imposters

Episode duration: 30 minutes to an hour

Frequency: Biweekly

Software engineer Antonio Borges and project manager Jordy Estevez host this far-reaching podcast that covers just about every corner of the data world (and some “data adjacent” topics, like how storytelling helps us remember). Episodes are equal parts funny and informative, making this a great option for anyone with an interest in data science.

Recommended episode: The Python Script That Almost Landed Me A Vaccine Appointment

5. Women in Data Science

Episode duration: 30 to 40 minutes

Frequency: Monthly (but sometimes inconsistent)

Professor Margot Gerritsen from Stanford University hosts a series of conversations with leading women in the data science field. Listening gives you an overview of how data science is applied across a range of industries, from music streaming to healthcare, along with plenty of career advice learned from experience.

Recommended episode: Lillian Carrasquillo | Using Human-Centric Data Science at Spotify

6. Lex Fridman Podcast

Episode duration: Two to five hours

Frequency: Twice weekly

This podcast, once called “The AI Podcast”, is no longer all about data science, but it does offer a broader perspective of data science and how it fits into the bigger picture of philosophy, history, health, and technology. Lex Fridman interviews luminaries from various industries—figures like Elon Musk (CEO of Tesla), Vitalik Buterin (co-founder of Ethereal), and Saagar Enjeti (political correspondent).

Recommended episode: Elon Musk: Neuralink, AI, Autopilot, and the Pale Blue Dot

Interested in a career in data science and machine learning? Build the job-ready skills you need in less than six months from the industry experts at IBM with the IBM Data Science Professional Certificate. Get started for free.

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Podcasts for career advice

If you’re thinking about starting a career as a data analyst or data scientist, or if you’re working toward advancing in your current role, these podcasts are for you. While they’re not all exclusively about job tips, they do lean toward the pragmatic.

7. SuperDataScience

Episode duration: Five to ten minutes (mini episodes) to an hour (full episodes)

Frequency: Twice weekly

This lighthearted podcast features conversations around the tools, techniques, and data-driven processes involved in real-world data science. Learn more about the history of data, knowledge graphs, or time series analysis, or get job ready with episodes focused on resume tips and myths about pursuing a data science career.

Recommended episode: How to Thrive as an Early-Career Data Scientist

8. Data Futurology

Episode duration: 30 to 45 minutes

Frequency: Weekly

Data science executive Felipe Flores hosts this podcast, where he interviews some of the world’s leading data practitioners. While the show focuses on the leadership side of artificial intelligence (AI), the content often includes useful bits of advice for how to get started—and excel—in the wide world of data.

Recommended episode: Machine Learning: Getting the Skills Needed to Work as a Data Scientist or Machine Learning Engineer with Alexey Grigorev

9. The Artists of Data Science

Episode duration: An hour to 90 minutes

Frequency: Weekly (or more)

This podcast focuses exclusively on self-development for data scientists. Each episode comes full of advice on how to develop professionally, stay informed, and practice good data ethics. Episodes are divided between interviews and “happy hours” where listeners can ask questions on anything related to data science.

Recommended episode: Your Job Doesn't Define YOU | Eleanor Tweddell

Podcasts for data science news and trends

No matter where you are in your data science career, it’s always a good idea to stay current with the latest in data and how it’s impacting the world. Subscribe to these podcasts to stay in the know.

10. Not So Standard Deviations

Episode duration: 20 minutes to an hour+

Frequency: Two to three per month

Roger Peng (professor of biostatistics at Johns Hopkins Bloomberg School of Public Health) and Hilary Parker (data scientist at Stitch Fix) co-host this discussion of industry news that weaves in their own personal experiences working with data.

Recommended episode: Data Gunslingers

11. The Banana Data Podcast

Episode duration: 20 to 30 minutes

Frequency: Biweekly

The Banana Data Podcast focuses on “the latest and greatest” of data science, from ethical AI to humanized data. Christopher Peter Makris and Corey Strausman keep listeners up to date on trends, news, and breaking conversations in the data world. The pair also offers a newsletter for those who prefer the written word.

Recommended episode: Create Technological Emotional Bonds w/ Creative Intelligence

Podcasts about machine learning and AI

It’s hard to talk about data science without some mention of machine learning and AI. If you’d like to learn more about these critical fields of data science, take a listen to one of these podcasts.

12. Data Science at Home

Episode duration: 20 to 30 minutes

Frequency: Once or twice a week

In Data Science at Home, Dr. Francesco Gadaleta discusses topics in machine learning, artificial intelligence, and algorithms and interviews top minds in the field of AI. Past episodes have covered how to work with unbalanced data, what true machine intelligence might look like, and why we don’t get paid for our data, even though it’s worth thousands of dollars each year.

Recommended episode: True Machine Intelligence just like the human brain

13. The TWIML AI Podcast

Episode duration: 20 to 30 minutes

Frequency: Twice weekly

During this podcast, formerly This Week in Machine Learning & Artificial Intelligence, analyst Sam Charrington interviews researchers, data scientists, engineers, and IT leaders on a broad range of topics related to machine learning and AI. Learn more about the latest in autonomous driving, haptic intelligence, and how AI might be used to map the human immune system.

Recommended episode: Machine Learning for Equitable Healthcare Outcomes with Irene Chen

14. Learning Machines 101

Episode duration: Around 30 minutes

Frequency: Irregular (once every two to three months)

Hosted by Dr. Richard Golden, Professor of Cognitive Science and Electrical Engineering, this podcast translates complex topics in machine learning and AI to a broad audience. While the episodes are typically on the short side, they offer a nice technical introduction to get you started before diving into more advanced topics.

Recommended episode: How to Define Machine Learning (or at Least Try)

15. Gradient Dissent

Episode duration: 45 minutes to an hour

Frequency: Weekly

This machine learning podcast gives a behind-the-scenes look at how leaders across a variety of industries are using machine and deep learning models to solve real-world problems. Guests on the show have included Wojciech Zaremba (co-founder of OpenAI), Sean Taylor (data scientist at Lyft), and Chris Mattmann (Chief Technology and Innovation Officer at the NASA Jet Propulsion Laboratory).

Recommended episode: Alyssa Simpson Rochwerger on responsible machine learning in the real world

16. In Machines We Trust

Episode duration: 20 to 30 minutes

Frequency: Biweekly

This show bills itself as “a podcast about the automation of everything,” and it examines the impact of AI on our daily lives. Jennifer Strong with the MIT Technology Review guides listeners through discussions on the ways we entrust technology with some of our most sensitive decisions.

Recommended episode: Hired by an algorithm

Podcasts on specific data topics

Podcasts are a great way to take a deep dive into a particular topic in the data world, whether to learn a new skill or pick up some tips on a data task you perform regularly. Each of these podcasts focuses on a specific element of data science.

17. More or Less: Behind the Stats

Episode duration: 10 to 30 minutes

Frequency: Twice weekly

This podcast from Tim Harford and the BBC helps make sense of statistics through short and snappy episodes. Topics are wide ranging—everything from how data has helped double life expectancy to calculating how many swimming pools of vaccine we’ll need to give everyone on the planet a dose.

Recommended episode: Delta cases, blue tits and that one-in-two cancer claim

18. Talk Python to Me

Episode duration: An hour to 75 minutes

Frequency: Weekly

Python’s versatility as a programming language is on full display in this podcast, which has already recorded more than 320 episodes about Python and related technologies. The show, hosted by Michael Kennedy, splits its time between how Python is applied by data scientists, software developers, and even the casual hobbyist.

Recommended episode: Python for Astronomy with Dr. Becky

19. The Data Engineering Podcast

Episode duration: 40 minutes to an hour

Frequency: Twice weekly

If you’re interested in the specialized role of data engineer, this podcast is for you. The show focuses on the tools and techniques associated with data engineering, as well as the difficulties engineers might face when managing workflow, automation, and data manipulation. This one’s full of insightful advice.

Recommended episode: Moving Machine Learning Into The Data Pipeline at Cherre

20. Data Viz Today

Episode duration: 10 minutes to an hour

Frequency: Every month or two

Data is at its most powerful when it tells a compelling story, and visualizations can help achieve that end. In this podcast, data visualization designer Alli Torban shares the latest methods and tools through her own work and interviews with other top data designers. 

Recommended episode: How to Turn Data Into an Experience

Archived podcasts: Gone but not forgotten

These podcasts are no longer actively producing episodes, but as industry favorites, we thought they were still worth mentioning. If you’re looking for your next data science listen, go ahead and dig into the archives of these longstanding favorites.

1. Partially Derivative

2. O'Reilly Data Show Podcast

3. Linear Digressions

4. Talking Machines

5. Data Stories

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Written by Coursera • Updated on Jun 30, 2021

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