What Are the Best Data Science Podcasts?

Podcasts have become the go-to way to stay informed, entertained, and educated, especially when you’re juggling a busy life. Whether you’re commuting, cooking, or just chilling on the couch, tuning into a podcast can be a great way to level up your skills. There are plenty of podcasts to keep you up to date with the latest trends, revise data science interview questions, and more! In this blog, we’ll talk about the best Data Science Podcasts in 2024!

7 Best Data Science Podcasts

So, let us introduce you to some of the best data science podcasts. If you’re a beginner or an expert in this area, these podcasts are suitable for you.

1. Data Skeptic

The first podcast on the list is Data Skeptic, a podcast that provides high-level insights from people in the field, as put into layman’s terms by Kyle Polich. Because if you are not at work, why do you want to think about work anyway? These podcasts look through flaws in common models and statistical tools used in data science. This show does a great job of making statistics accessible to help avoid some of these pitfalls.

If you’re about to start a data science course, the show’s tips are the perfect accompaniment to help you learn anything that you’re not familiar with. If you’re going for a data science position, this podcast will do wonders to help with those technically tough data science interview questions.

2. Not So Standard Deviations

Not So Standard Deviations is a podcast with a title that mathematicians and statisticians — at least the ones who aren’t too serious about their subject — will appreciate. However, the show, co-hosted by Hilary Parker and Roger D. Peng, offers lots of insights for those who are interested in the practice of data science.

Hilary and Roger have great chemistry, and it’s like listening to two friends who also happen to be data science experts; it’s both fun and informative. The topics are also quite diverse; you’ll hear some banter about dealing with messy data, as well as discussions on the latest tools. If you’re taking a data science course, this is like having two additional instructors who just know how to make learning enjoyable.

3. Linear Digressions

Linear Digressions is a podcast that deals with complicated data science subjects and presents them in a simple way for all. Hosted by Katie Malone and Ben Jaffe, you will notice that they are very good at interpreting technical things, so it doesn’t give you a headache. They touch on everything from neural networks to data ethics, yet their manner of presentation is not only interesting but also instructive.

What makes Linear Digressions one of the best data science podcasts is that it not only deals with theory. Instead, they cover real-world examples and case studies, which helps a lot when you are studying to answer data science interview questions.

4. Data Stories

Data Stories is another gem in the data science dreams world. Hosted by Enrico Bertini and Moritz Stefaner, this podcast is all about data visualization and the stories data can tell. It’s less about the number-crunching side of data science and more about how to present data in a way that’s meaningful and impactful.

The hosts frequently bring on guest experts, which adds a lot of depth to the discussions. Whether you’re looking for inspiration for your next data visualization project or just want to hear about the latest trends in the field, Data Stories has got you covered. For anyone taking a data science course, especially one with a focus on visualization, this podcast is pure gold.

5. The Data Engineering Podcast

While many data science podcasts concentrate on the algorithms and analysis side of data science, The Data Engineering Podcast looks at the other side. Hosted by Tobias Macey, this podcast gives you everything you need to know to build and maintain the enterprise data systems that actually run data science projects.

It’s a bit more technical than some of the other podcasts on this list, but if you’re serious about becoming a well-rounded data scientist, it’s worth listening to. Plus, knowing the engineering side of data science isn’t a bad thing when you’re interviewing and answering data science interview questions that other candidates might trip over. If you do any data engineering in your data science course, it will really help connect the dots.

6. SuperDataScience

Hosted by Kirill Eremenko, SuperDataScience is the podcast that will turn you into a data science superstar. Kirill interviews experts across multiple industries about their experience with topics in data science, machine learning, AI, and more. It’s great for learning quick tips and strategies to implement, as well as gaining insight into the work lives of successful data scientists.

One of the greatest things about SuperDataScience is it makes the industry feel achievable for all. If you’re new to the game or simply want to build on your current skills, this podcast is for you. If you’re in the middle of a data science course or getting ready for an interview, then rest assured, there are a ton of practical tips and advice here.

Wrapping Up

Whether you’re commuting to work, hitting the gym, or just lounging around, there’s a data science podcast out there that’s perfect for you. Not only are these podcasts full of great tips and advice, but they’re also an entertaining way to learn about data science. So, grab your headphones and prepare to be inspired by our favorite data science podcasts.

And hey, if you’re currently powering through a data science course or prepping for those all-important data science interview questions, these podcasts should give you an added dose of confidence.