Whether you’re looking for educational opportunities or looking for entertainment, podcasts can be an excellent way to make the most of your time. The amount of podcasts available and topics covered makes this resource valuable on a global scale.
If you’re new to data analytics or the data science world, you can become more familiar with the terminology and the industry by listening to world-class professionals. If you’re already a seasoned practitioner, there’s always something new to learn or gain a fresh perspective on.
Below is a list with some of the most listened to podcasts in the data science industry. If you have any other suggestions, drop us a line here, and we’d be happy to add more to the list. The podcasts are in no particular order.
Data Science & Analytics Podcasts to Listen to
As they put it, “read any business magazine and you will find an article saying something along the lines of Business Analytics is the hottest job category out there, and there is a significant lack of people, process, and best practice.”
This podcast is an informal discussion between Michael Helbling, Moe Kiss, Tim Wilson, and an occasional industry-expert guest about the cutting edge of digital analytics. They share their thoughts and experiences, making each episode unique, and every debate a new learning opportunity.
Enrico Bertini and Moritz Stefaner discuss the latest developments in data analytics, visualization, and related topics.
Enrico Bertini is a researcher in the field of data visualization. He has a background in Computer Science and is currently an Assistant Professor at NYU Tandon School of Engineering in the CSE department. Moritz Stefaner works as an independent “Truth & Beauty Operator” on the crossroads of data visualization, user interface design, and information aesthetics.
Partially Derivative was discontinued in 2017 but has episodes that are still relevant today. This podcast is about data science in the world around us. Episodes are a mix of explorations into the techniques used in data science and discussions with the field’s leading experts. The podcast is hosted by Jonathon Morgan, Vidya Spandana, and Chris Albon.
Data Skeptic is a podcast about data science, machine learning, and artificial intelligence. They provide weekly interviews with leading experts. Last week, they talked about machine learning and about how it has shown a rapid expansion into every sector and industry. With increasing reliance on models and increasing stakes for the decisions of models, questions of how models actually work are becoming increasingly important to ask.
The Present Beyond Measure podcast is a bi-weekly show that discusses data analytics, data visualization, and digital analytics. Its goal is to empower listeners with the tools they need to deliver data visualizations and presentations with more passion, focus, and maximum impact.
There are several episode formats. Some are just the host (Lea Pica), where she informs the listener about a particular data visualization or presentation topic. Then, there are interviews with respected analytics, data viz, and presentation experts in the field. Another format is their videos which show how to “makeover” charts and slides to take them to the next level.
The Banana Data Podcast is a new data science podcast focused on the data science ecosystem. With topics ranging from ethical AI to robot pets, hosts Triveni & Will will keep you in the loop on the latest trends, news, and big conversations surrounding data.
DataFramed by DataCamp was discontinued in April 2019 but has content that is still relevant today. In the podcast, Hugo Bowne-Anderson approaches data science from the perspective of what problems it tries to solve instead of what definition fits it best. From automated medical diagnoses and self-driving cars to recommendation systems and climate change, DataFramed invites you on a journey with industry and academic experts to explore the inner workings of the industry that will color the 21st century.
Linear Digressions is a podcast about data science, machine learning, and artificial intelligence. In their latest episode, they talked about The Lottery Ticket Hypothesis, whereas in previous episodes, they tackled technical issues prompted by GDPR and data privacy concerns, data science initiatives as innovation initiatives, and building a curriculum for educating data scientists.
TWIML AI originated from This Week in Machine Learning & AI, a podcast launched in 2016. TWIML AI now has a large and engaged community with more than five million all-time downloads. In the podcast, they bring some of the top minds and ideas of machine learning and AI to a broad and influential community of researchers, data scientists, engineers, and tech-savvy business and IT leaders.
Data Science at Home is a weekly podcast that unfolds the latest and most relevant findings in machine learning and artificial intelligence. The podcast is produced by Amethix Technologies and interviews researchers and influential scientists in the field.
If you’re interested in reading more about topics related to data science and analytics, you can also check our blog. We post weekly blog posts and news articles to keep you updated on everything that’s happening in the industry.
If you have other must-listen-to podcast recommendations, don’t forget to give us a shout and we’ll add them to the list.