Pranav Dar — Updated On July 26th, 2020
Beginner Business Analytics Business Intelligence Data Science Deep Learning Machine Learning Podcast

With the rapid pace at which technology is driving innovation in machine learning and artificial intelligence, it has become immensely important to keep pace with the ongoing trends in data science. However, it can become challenging to read everything that’s out there.

Podcasts are a great alternative to keep yourself updated. With the remarkable rise of the data science industry in recent years, enough podcasts have been created for us to geek out over.

In this article, we look at 10 such podcasts that we feel any data scientist must listen to:


Analytics Vidhya’s own DataHack Radio Podcast!

This is Analytics Vidhya’s exclusive podcast series which features top leaders and practitioners in the data science and machine learning industry. In fact, the first three episodes are already available! Listen and subscribe now!

It’s available on SoundCloud, iTunes, Google Podcasts and of course, our own site!

Average episode duration: 60 minutes

Total Number of Episodes: 23

Area(s) of focus: Data science, machine learning, deep learning, artificial intelligence


The Data Skeptic

With episodes ranging from anywhere between 15 minutes to an hour, the Data Skeptic is a great way to introduce yourself to the world of Data Science podcasts. The topics include interviews with data science practitioners to talk about real world data science challenges, simple academic concepts like feature selection, NLP, decision trees, among may others.

If you have to narrow down to one podcast, make sure it’s this one.

Average episode duration: Anywhere between 15-60 minutes

Total Number of Episodes: 198

Area(s) of focus: Data science concepts and real-world issues


The O’Reilly Data Show

This can get technical and quite in-depth at times, but it’s still a great way of keeping up to date with what’s happening in the world of AI and Machine Learning. It’s hosted by O’Reilly Media’s Chief Data Scientist, Ben Lorica.

Average episode duration: 20-60 minutes

Total Number of Episodes: 60

Area(s) of focus: Technically driven, deals with current issues


Concerning AI

This podcast offers a slightly different take on AI – it looks at the threats and risks that the growing influence of AI can have on today’s society, and what steps we need to take to combat it.

Average episode duration: 20-40 minutes

Total Number of Episodes: 62

Area(s) of focus: Regulations and concerns in the AI world


Data Stories

Data Visualization is at the heart of this podcast. Hosts Enrico Bertini and Moritz Stefaner interview folks from various fields every week. Recent topics include Data Pottery, Bitcoin Visualizations and a fascinating episode of “What’s Going on with this Graph?”.

Average episode duration: 30-50 minutes

Total Number of Episodes: 112

Area(s) of focus: Data visualization


Learning Machines 101

Their aim is to “demystify the field of Artificial Intelligence by explaining fundamental concepts in an entertaining manner”. Their topics do tend to get technical sometimes, like “How to use Expectation Maximization to Learn Constraint Satisfaction Solutions” or “How to Use Radial Basis Function Perceptron Software for Supervised Learning”.  However, some topics are meant for all listeners regardless of technical knowledge.

Average episode duration: 20-30 minutes

Total Number of Episodes: 69

Area(s) of focus: Technically driven, intermediate to advanced machine learning concepts


Women in Data Science (WiDS) Podcast

I’m a big fan of the Women in Data Science (WiDS) series. In the WiDS podcast, Stanford Professor Margot Gerritsen interviews women across the data science profession as they share their career highlights, advice, and lessons learned along the way.

It’s quite an inspirational podcast and covers a wide range of domains, from healthcare to seismology to human rights and more.

Average episode duration: 30-40 minutes

Total Number of Episodes: 9

Area(s) of focus: Data science, machine learning, data science career


Artificial Intelligence in Industry (Dan Faggella)

Every week, Dan Faggella interviews data scientists and AI leaders from the world’s companies to figure out the applications and implications of AI. There are tons of episodes you can listen to from the last couple of years that are still relevant. The latest episode, “Will you buy your home or car using AI?” is a very pertinent topic in today’s society.

Average episode duration: 30 minutes

Total Number of Episodes: 99

Area(s) of focus: Interviews with data practitioners, discussions on current topics


Talking Machines

If you’re new to data science or are not a fan of the technical stuff, this podcast is for you. Each episode features interviews with industry experts about data science and gives a holistic overview of a few techniques. Most episodes also feature listeners calling in and asking questions.

Average episode duration: 60 minutes

Total Number of Episodes: 29

Area(s) of focus: Basic to intermediate data science concepts, listener Q&A , interviews with industry experts


This Week in Machine Learning & AI

Episodes in this podcast are churned out at a fairly regular interval every week. This features interviews with AI /ML experts on a variety of data science topics.

Average episode duration: 45 minutes

Total Number of Episodes: 111

Area(s) of focus: Current topics in ML and AI including projects and companies


Linear Digressions

The hosts, Ben Jaffe and Katie Malone, manage to break down complex data science problems and techniques into snippets of information that can be easily digested by the casual listener.

Average episode duration: 15 minutes

Total Number of Episodes: 164

Area(s) of focus: Data science and machine learning concepts applied to real-world issues


Freakonomics Radio

Disclaimer: This isn’t exclusively a data science podcast. Host Stephen J. Dubner explores a whole host of puzzling issues in the world but it gives the listener a good idea of how data science can be integrated into economics and other global issues.

Average episode duration: 45 minutes

Total Number of Episodes: 310

Area(s) of focus: Economics, interviews with social scientists

Are there any other podcasts you listen to? Add them in the comments section below!

Note: The total number of episodes mentioned in this article are updated till the publishing date.

About the Author

Pranav Dar
Pranav Dar

Senior Editor at Analytics Vidhya. Data visualization practitioner who loves reading and delving deeper into the data science and machine learning arts. Always looking for new ways to improve processes using ML and AI.

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21 thoughts on "10 Data Science, Machine Learning and AI Podcasts You Must Listen To"

Data science podcasts – suitedclerk
Data science podcasts – suitedclerk says: January 22, 2018 at 5:09 am
[…]… […] Reply
Vishalkumar Arvind Singh
Vishalkumar Arvind Singh says: January 22, 2018 at 8:19 am
How can i get this courses Reply
Ghouse says: January 22, 2018 at 8:21 am
I need to know more about it and I want to be part of it Reply
Pranav Dar
Pranav Dar says: January 22, 2018 at 10:33 am
Hi Vishualkumar, These are podcasts you can listen to. You can access each podcast by clicking on the names mentioned in the above article. Reply
puleen says: January 22, 2018 at 11:18 am
you might share some links for these courses Reply
Basava says: January 22, 2018 at 12:02 pm
Partially Derivative have plenty of episodes, not only 10. Reply
Michael Poulsen
Michael Poulsen says: January 22, 2018 at 12:42 pm
This is not courses. It's podcasts :-) Just install a podcast app - either Android or Iphone, and find the recordings in the app. Reply
Dinesh Chauhan
Dinesh Chauhan says: January 22, 2018 at 2:40 pm
This is a goldmine. I have been listing to few of them already but now list of weekly todo has gone bigger :) Thanks a lot for sharing. Reply
Pranav Dar
Pranav Dar says: January 22, 2018 at 3:03 pm
Hi Puleen, As Michael mentioned, these are podcasts and not courses. To listen to the podcasts, please click on the names of each podcast in the article. They will take you directly to the podcast page. Reply
Pranav Dar
Pranav Dar says: January 22, 2018 at 3:30 pm
Thanks Basava, we have updated the episode count for Partially Derivate. :) Reply
Pranav Dar
Pranav Dar says: January 22, 2018 at 3:33 pm
Glad you found it helpful, Dinesh! Reply
Aritra Chatterjee
Aritra Chatterjee says: January 22, 2018 at 3:43 pm
This is really good resource. I can see how my conventional tv and music is habit is replaced by ted and podcast session. Reply
Amit says: January 22, 2018 at 4:01 pm
Very Useful. Thanks Reply
Namita Nair
Namita Nair says: January 22, 2018 at 4:51 pm
Thank you so much for this!! This is so great! Reply
Pranav Dar
Pranav Dar says: January 22, 2018 at 5:17 pm
Same here, Aritra. My travelling time to and from work is spent listening to podcasts these days. Totally worth it! Reply
Karan says: January 22, 2018 at 5:32 pm
Super Data Science is another one. Reply
Sagar says: February 27, 2018 at 9:18 pm
Data Science Office Hours is yet another one of them. Reply
Pranav Dar
Pranav Dar says: February 28, 2018 at 10:21 am
Hi Sagar, Yes, I've been following their videos lately and it's a pretty interesting concept. I like the insights each of them brings from vastly different fields (pharma, banking, etc.) and then tie it together with general data science processes. Reply
Malavika says: March 21, 2018 at 11:27 am
Yes, that one's pretty good too. Reply
Kevin Cain
Kevin Cain says: May 22, 2018 at 10:22 pm
Hi Pranav, Another podcast that you might consider adding to your list is The Impact Podcast ( by Georgian Partners. It has 75 high-quality episodes on topics like bias in ML models, using ML to tackle the diabetes epidemic, natural language processing, the convergence of ML and fashion, ethics and privacy in AI and ML, building data science teams, and many others. Not only that, recent well-known guests include Clare Corthell, Tom Reilly, and Hilary Mason. They've also got episodes in the works with Cathy O'Neil, Sam Charrington, and Allistair Croll. Check it out and think about adding it the next time you update your list! Reply
Pranav Dar
Pranav Dar says: May 23, 2018 at 5:46 pm
Hi Kevin, This looks like a really good podcast! Thanks for mentioning it. :) Will give it a listen and I'm sure the community will enjoy it as well. Reply

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