If you’ve been wondering whether there any data science podcast worthy of your time, then you’re in luck because hereinbelow, we cover the 13 best and the most popular data science (machine learning and AI) podcasts. They are listed in no particular order, so feel free to jump in anywhere within the article if something looks particularly appealing to you. All podcasts are up-to-date and ongoing, except just one which promises to return soon, so was still featured. If you are running a podcast or would like to suggest an addition, please feel free to do so within the comments section below.
Data Science Ethics Podcast
Twitter: http://twitter.com/DSEthics
Creators/Hosts: Lexy Casson, Marie Weber
Add-on Stuff: links and transcript
Duration per episode: 40 min
Rotation: once a month
Listen to: iTunes; Spotify
If you’re interested in data science from the perspective of data protection and privacy, then this is the podcast to go. With an increasing frequency of scandals around an unlawful gathering of data and privacy breaches, improperly trained algorithms, data science ethics has become an increasingly hot topic, which you can no longer ignore. This podcast is dedicated to unveiling the mystery of regulation and legislation of data and ensuring that data scientists do not unintentionally breach the law and damage those they help, gather information from, or work for. Each episode explores a particular area where mistakes have been made and boundaries crossed before so that you know how to avoid potentially dangerous situations. Moreover, the hosts talk to different guests that are experts in their field, so it’s not just 2 hosts talking to each other on every episode, you’ll definitely be exposed to different situations and perspectives. This is a relatively new podcast with the first episode of the show going back to May 2018, so only one and a half years old.
Data Science Impostors Podcast
Twitter: https://twitter.com/dsimposters
Creators/Hosts: Jordy Estevez, Antonio B.
Duration per episode: 50 min
Listen to: iTunes
The people behind the Data Science Impostor podcast don’t really look like impostors at all: both Jordy and Antonio have a huge experience in the field and have worked for such gargantuan corporations like Goldman Sachs and Ernst and Young. The show has been running around since 2017, so it’s definitely a mature podcast, considering so many abandoned projects who burned out after a year. The hosts on the show talk to different guests in a data science field about complex subjects surrounding the industry from blockchain to self-driving cars, etc.
Data Science at Home
Number of Seasons/Episodes: ~80 episodes
Creators/Hosts: Amethix Technologies, Dr. Francesco Gadaleta
Duration per episode: from 10 to 50 min
Rotation: sporadic, a few times a month
Listen to: iTunes
This is a proprietary podcast belonging to a company called Amethix Technologies and hosted by Dr. Francesco Gadaleta, who either talks solo or invites influential figures in the field to discuss machine learning, artificial intelligence, and algorithms. The episodes vary in length, ranging from 10 minutes to say, 50, the longer episodes are obviously when the host talks to invited guests. The last episodes were dedicated to scaling AI in a company, NLP models, training neural networks, complex video analysis with Videoflow, etc. Definitely worth checking out especially if you don’t have a spare hour on your hands since there are plenty of short and informative episodes available.
Women in Data Science
Twitter: https://twitter.com/WiDS_Conference
Number of Seasons/Episodes: 14 episodes
Creators/Hosts: the Stanford Institute for Computational & Mathematical Engineering (ICME) and the Stanford School of Engineering; Margot Gerritsen
Duration per episode: 30 min
Rotation: sporadic
Listen to: iTunes; Spotify
This is the show brought to you by the Stanford Institute for Computational and Mathematical Engineering. Thus, unsurprisingly, the host of the show, Margot Gerritsen, is a renowned scholar from Stanford, which now serves as a faculty member in Energy Resources Engineering and a member of the Board of Trustees of SIAM. Ms. Gerritsen specializes in the development of computational methods for renewable and fossil energy production. The show is relatively new but has already garnered a pretty impressive following and listeners around the globe. In each new episode, Ms. Gerritsen talks to different women who work in a data science field about the projects they have been working on or initiatives that they have supported. Among her recent guests were Shir Meir Lador, data science team lead at Intuit in Israel, Meltem Ballan, from General Motors, Elena Grewal, Airbnb’s chief data scientist, Jennifer Widom, Stanford School of Engineering Dean, among others.
The Future of Data Podcast
Twitter: https://twitter.com/AnalyticsWeek
Creators/Hosts: Vishal Kumar
Duration per episode: 40-50 min
Rotation: sporadic
Listen to: iTunes
The Future of Data podcast is brought by Analytics Week, which first started as a meetup back in 2013, which then later grew into a weeklong conference addressing issues around big data. The podcast revolves around discussions, sessions, and conversations with leaders, influencers, and trendsetters defining the data science industry. The latest episodes featured Dr. Michael Stoenbraker who talked on the future of DataOps and AI and discussed his perspective on the growing industry, Stephen Wunker, who discussed how companies connect pricing and data strategies, among others. Basically, the podcast is all about the present state of the industry and what it means for the future.
DataFramed {on hiatus}
Twitter: https://twitter.com/DataCamp
Number of Seasons/Episodes: 59
Creators/Hosts: Hugo Bowne-Anderson
Add-on Stuff: links
Duration per episode: 50 min
Rotation: sporadic
Listen to: iTunes
Unfortunately, the podcast is on a hiatus which was about to finish this summer (2019), but so far it has not returned. Nevertheless, we decided to include it in this short review hoping that Data Camp, who sponsors and organizes the show, will continue its excellent quest on exploring data science and people that make it. In the podcast, the host tries to cover the problems Data Scientists are trying to solve and approaches they use while solving them. Different guests (ranging from academics to industry professionals) talk about different industries they apply their data science knowledge, including health care, automobile industry, climate change, etc.
Data Skeptic Podcast
Twitter: https://twitter.com/dataskeptic
Creators/Hosts: Kyle Polich
Duration per episode: 20 min
Rotation: sporadic, usually once a month
Listen to: iTunes
This is one of the longest-running show on our list with a fist episode going as far back as 2014. Regardless of it being such a mature show, it’s practically impossible to listen to the episodes from the website directly, I assume they have some kind of bug issues, but you still can listen to the show at iTunes, there it all works smoothly, unsurprisingly. The episodes are pretty short, even if Kyle asks guests to join into the conversation, they usually don’t exceed 30 minutes. The latest guests were Tim Niven, Jen Stirrup, and Prasanath Pulavarthi.
Super Data Science Podcast
Twitter: https://twitter.com/superdatasci
Creators/Hosts: Kirill Eremenko
Add-on Stuff: overview, timeline, links
Duration per episode: 60 min
Rotation: every week, Wednesday
Listen to: iTunes; Spotify
Super Data Science is a learning resource dedicated to those studying data science, machine learning or pursuing a data science career. There are sections with different learning paths, available courses, workshops, and, of course, podcast episodes. In each episode, Kirill, the founder of Super Data Science, talks to different guests who shape the industry about their area of expertise in data science, business insights, strategies for teaching and learning data science, as well as the future of the field. Among the latest guests were Michelle Keim, the head of the Data Science at Pluralsight, Ayodele Odubela, a Data Scientist at Mindbody, and Hadelin de Ponteves, the co-founder and Director of Technology at BlueLife AI. The podcast can be recommended to anyone willing to extend their knowledge of the industry and learn of any new or latest developments in data science and analytics domains.
Data Science Podcast Linear Digressions
Twitter: http://twitter.com/lindigressions
Creators/Hosts: Katie Malone
Add-on Stuff: links
Duration per episode: 15-20 min
Rotation: once a week, Sunday or Monday
The podcast is hosted with two data science enthusiasts and professionals, who, each week, talk on a particularly hot topic in data science and machine learning. The episodes are relatively short, ranging from 10 to 15 minutes. The hosts rarely talk to other people, primarily they discuss issues between themselves and try to get to the bottom of things. The latest conversations were dedicated to organizational models for data scientists, Data Shapley, an algorithm for thinking about which examples in a dataset are most important, Stanley, the first self-driving car, overview of scientific methods in data science like the null hypothesis and p-hacking. Definitely check this podcast, if you don’t have a spare hour on your hands, and you’re not a particular fan of the podcast interviews. Information here is served in bite-sized fashion, accessible and comprehensible.
Artificial Intelligence in Industry with Daniel Faggella
Creators/Hosts: Daniel Faggella
Duration per episode: 15 min -30 min
Rotation: sporadic, once or twice a week
The podcast has been running around since 2013, one of the maturest podcasts on the list. Daniel Faggella, the host of the podcast, is also a founder of the Emerj Artificial Intelligence Research foundation, a renowned speaker, often called to speak at events for such prominent and huge organizations like the UN, INTERPOL, OECD, and others. The AI in Industry podcast touches a myriad of subjects starting from robotics and deep learning and finishing with ethics, startup founding, and even consciousness. The host talks to a variety of guests, among the latest were Jonathan Ross, CEO and founder of Groq, an AI hardware company, Dr. Charles Martin of Calculation Consulting, Moe Tanabian, General Manager of Intelligent Devices at Microsoft, Jan Kautz, Vice President of Learning and Perception Research at NVIDIA, among many others. It’s definitely an interview-heavy podcast; however, there are some episodes, where the host doesn’t invite anyone to the conversation, instead, focuses on a particular topic and discusses it in detail on his own. For example, Daniel has a series of podcast episodes on getting started with AI, where he analyzes previous conversations and interviews held on the show, distills them and breaks them down into core best-practices for getting started with artificial intelligence in business.
Banana Data Podcast
Twitter: https://twitter.com/dataiku
Number of Seasons/Episodes: 10 episodes
Creators/Hosts: Dataiku – Triveni & Will
Add-on Stuff: show notes with links
Duration per episode: 30 min
Rotation: once every 2 weeks
Listen to: iTunes; Spotify
This a new data science podcast, focused on the latest of the DS ecosystem, intertwined with the hosts’ musings, opinions, and data science expertise. The topics range from ethical AI and transparency to robot pets. There’s also a weekly newsletter that comes along with the podcast, be sure to subscribe here https://banana-data.com/ The latest episodes were dedicated to cross-cultural AI, good and bad practices in AI and data science, GDPR, AI job market overview, among others.
Data Stories Podcast
Twitter: https://twitter.com/datastories
Number of Seasons/Episodes: 145 episodes
Creators/Hosts: Enrico Bertini & Moritz Stefaner
Add-on Stuff: links
Duration per episode: 40 min
Rotation: about once a month
A podcast is dedicated to data visualization. The hosts are Enrico Bertini, an acclaimed researcher in the field of data visualization, currently an Assistant Professor at NYU Tandon School of Engineering in the CSE Department, and Moritz Stefaner, an independent “Truth & Beauty Operator,” who works for large NGOs and academic and commercial clients, as well as on self-commissioned projects. Different guests talk on the subjects of their expertise, among the latest were digital artist Nicholas Rougeux, who talked about his beautiful data art projects and the processes he followed, Federica Cocco and John Burn-Murdoch from Financial Times, who talked about new FT visualization series called Data Crunch, and an art historian Sandra Rendgen who delved into the history of data viz.
Becoming a Data Scientist Podcast
Twitter: https://twitter.com/BecomingDataSci
Number of Seasons/Episodes: 17 episodes
Creators/Hosts: Renee M. P. Teate
Add-on Stuff: links to relevant articles & tweets
Duration per episode: 40 minutes
Rotation: sporadic {sometimes once every 2 years}
The host of this podcast was documenting her quest to become a data scientist over the course of a few years. She’s still doing the podcast, but unfortunately not as often as before (there was a gap between the episodes of 2 years long). Renee also has some other projects related to data science like DataSciGuide and Data Science Learning Club, so make sure you check it out if you’re just starting out in data science. On her podcast, Renee interviews renowned speakers and data scientists working for various high-profile organizations like NASA, US Government, or educational institutions. The last episode (May 29, 2019) was recorded in front of a live audience at Tom Tom Fest Applied Machine Learning Conference in Charlottesville, VA, where Renee talked to Andrew Therriault – formerly the Director of Data Science for the Democratic National Committee & Chief Data Officer for the City of Boston, and currently Data Science Manager at Facebook.
Additional resources of interest:
A Series of Web Dev Podcasts
Web Dev Newsletters
Data Science Overview
