A podcast about the latest applications of natural language processing may not always top the charts, but the field of data science is consistently earning broader appeal. With increasing tech innovation and the digitization of consumer-producer relationships, more and more data pros are seeking out the latest data cleansing tips. And like any other field, there are a broad range of podcasts being produced that can help listeners stay up to date with the industry.
Data science podcasts are typically hosted by professionals working in the field who are able to dissect and make sense of the latest industry news and updates, as well as showcase the experiences of other experts.
If you’re interested in staying up to date with the latest developments in the field, a data science podcast might be the perfect way to catch the latest during your dog walk or morning commute. Or make the most of your Sunday cleaning routine by brushing up on your Python technique. That’s the beauty of a podcast: immerse yourself in learning with a virtual, mobile library of advice and news at your fingertips.
If you’ve ever gone searching for podcasts, though, you’ll know it can be a little overwhelming. There are a ton out there, and some are better than others. To cut out some of the legwork for you, we’ve assembled a list of some of the most popular and reputable shows currently available for streaming or download.
Our Top Data Science Podcasts
Below is a list of handpicked podcasts to help you stay up to date with latest industry news and developments, and help you on your path to becoming an expert data scientist.
1. Data Skeptic
Hosted by Kyle Polich, Data Skeptic is renowned as one of the best data science podcasts, with over 200 episodes for listeners to dive into. It brings listeners weekly stories covering various topics related to data science, such as machine learning, statistics, artificial intelligence, natural language processing, and K-means clustering. The episodes also include interviews with industry professionals, who share their knowledge about the practical aspects of data science and their experiences in the field.
2. Data Crunch
Data Crunch is another exceptional data science title, hosted by technical writer Ginette Methot and data scientist Curtis Seare. The episodes deal with the various impacts of data science, artificial intelligence, and machine learning on the world, and how these are incorporated in various day-to-day areas, from finance to healthcare. You can hear entrepreneurs and experts share their experiences, failures, and successes while working with these technologies.
3. Linear Digression
Hosted by Katie Malone and Ben Jaffe, this weekly podcast focuses on data science and machine learning, and the way machine learning has achieved breakthroughs in solving issues around the world. Most of its 100+ episodes are nearly half an hour long. They covers a wide range of topics, from fundamentals right through to more complex concepts like Fourier transform, neural networks, and auto-encoders.
4. O'Reilly Data Show
The O’Reilly Data Show is another popular podcast that explores opportunities and methodologies related to data science, big data, and artificial intelligence. Show host Ben Lorica is often joined by eminent industry professionals in the discussions. The episodes are usually 30 to 40 minutes long, and an event series at the beginning of each episode helps listeners to get accustomed to the topics covered in the podcast.
5. Data Stories
Hosted by Enrico Bertini and Moritz Stefaner, this podcast deals with data visualization and its repercussions. The hosts discuss various great ideas amongst each other and the roll call of regular industry guests on the show. Listeners can learn how to visualize data better and discover more about the role data plays in our everyday lives. Each episode runs for around 40 minutes.
6. Super Data Science
In each episode of Super Data Science, popular data science coach and lifestyle entrepreneur Kirill Eremenko incorporates plenty of first-hand experience. The main purpose of this podcast is to inspire people who want to achieve success in the field of data analytics and data science. Eremenko gathers leading data scientists and analysts from around the world to talk about their career paths and how they made big in the industry. He also hosts regular minisodes called Five Minute Friday, which are designed to motivate data science hopefuls to achieve success in the field.
7. Not So Standard Deviations
This podcast, co-hosted by Roger Peng and Hilary Parker, discusses all the latest industry news related to data science and analytics. The hosts also share some of their own experiences working with data. The episodes are longer in duration (around 60 minutes) when compared with other popular data science podcasts, and air twice or thrice a month. They’re ideal for a long drive or commute.
8. Data Science at Home
With intriguing topics like ‘The Dark Side of AI’, this podcast offers a different take on the typical data science podcast. Hosted by Francesco Gadaleta, Data Science at Home aims to make machine learning and AI easy for everyone to understand. The host is opinionated, and often engages listeners in thought-provoking discussions related to data technologies. Episode length varies, with the interview episodes generally running for a full hour.
9. Data Framed
Another informative and interesting podcast, Data Framed is hosted by data scientist Hugo Bowen Anderson. It’s a weekly show where the host, along with industry and academic experts, focus on the types of issues that data science can resolve and the ways in which the field has changed the global landscape. The popular show is sponsored by Data Camp and is well-known for its high quality content.
10. Talking Machines
Hosted by former public radio producer Katherine Gorman and Professor Neil Lawrence, Talking Machines takes listeners on a journey delving deeper into the world of machine learning. Regular episodes are around 40 minutes long, and usually involve a guest interview and a response to a listener question toward the end of the show. Talking Machines is an engaging listen, with insightful and informative discussions.
11. Data Engineering Podcast
This podcast, hosted by Tobias Macey, is designed for experts already working in the field of data science. It’s a weekly show that focuses on data management with engineers and entrepreneurs who are shaping the industry.
12. Data Futurology
This podcast is hosted by Felipe Flores, a senior data science executive with more than 20 years’ experience in the software and data science field. It’s a great program for anyone wishing to hone their data science skills and can teach you how to implement data strategies and applications of machine learning and artificial intelligence. It can also guide you on how to build a professional world-class data science team. Leading data scientists share their personal experiences of career growth in the field of data science over episodes that generally last an hour.
13. Data Able
This weekly data podcast is hosted by Dave Mathias, an expert data advisor and analyst, and Matt Jesser, who holds a master’s degree in industrial organizational psychology. The show places emphasis on data storytelling and hosts discussions regarding best practices for getting value out of data for organizations. It’s a great podcast for a range of quick insights and lengthier discussions, with episodes of varying duration ranging from nine to 45 minutes.
14. The Data Lab Podcast
This podcast is sponsored by the Data Lab team, the National Innovation Centre for Data and Artificial Intelligence in Scotland. The show features regular guests who offer employment tips aimed at helping listeners get a foothold in the data science career of their choice. It also keeps listeners updated about award-winning data science projects. The episodes are released intermittently, and generally run for 20 minutes to an hour long, depending on the guests.
15. Tag Data Talk
Hosted by Dr Beverly Wright, this podcast airs once a month and covers a full range of varied data science topics. Recent episodes have looked at the current outlook for analytics and data science, the skills and talents required to enter the profession, major tool advancements, and organizational structures. If you’re interested in a fresh outlook on data science and analytics, we highly recommend you give this podcast a listen.
Making the Most of Data Science Podcasts
Subscribing to a few podcasts is a great way to keep tabs on the industry, but it’s not a magic bullet. You have to be able to visualize the ideas presented and make sense of each discussion. You can also develop your knowledge and make the most of your learning by reading data science blogs and books, and accessing other resources like video lectures and tutorials.
If you’re serious about upskilling or making the switch from your current field into data science, our Data Science bootcamp could be the next move for you. You’ll experience top tier support, dedicated one-on-one mentorship and coaching to help you land the career of your data science dreams. Reach out to our team today to find out more, and check out our Outcomes page for more information about how our grads fare in the job market.