What We’re Listening To: Top 12 Data-Related Podcasts

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Since early 2014 there’s been a resurgence in podcasts. According to a recent study by Edison Research, podcast listening grew 23% between 2015 and 2016. Listeners like me have been attracted by better production quality, more topics, and more in-depth coverage of individual topics.

The past year has seen remarkable growth in one of my favorite topics – podcasts related to data. Here’s a list of 12 data-related podcasts that will keep you current, expand your mind, and make your commute a little more interesting.

The Digital Analytics Power HourDAPH

The Digital Analytics Power Hour (DAPH) is a twice-monthly podcast. Its flavor comes from a lobby bar format – i.e. the kinds of conversations that happen at the lobby bars of analytics conferences. As such, it’s less formal and a bit on the lighter side at times, but provides valuable information and perspectives in every episode.

Topics are primarily focused on digital and marketing analytics, with occasional forays into tangential topics like R, data visualization, and sports analytics.

Why I Like It:

It offers down-to-earth advice and perspectives from analysts who are in the trenches. It’s a great show to get a broader sense of what’s happening in the digital analytics industry.

Hosts: Michael Helbling, Tim Wilson, and Jim Cain

Episodes

32

Mean Length

43 min.

Median Length

43 min.

Download

iTunes
Stitcher


Partially Derivativepartially derivative

This weekly podcast is less about digital analytics and more about data in general. This is the show for the data scientist inside you who’s just dying to get out. I found this show when I was first looking to dip my toes into data science. I binge-listened to the first 18 episodes over two days, and can attest that it is a friendly and fascinating introduction to some intimidating topics. Each episode starts off with the hosts introducing the beer they’re drinking. So again, this is not some stuffy, academic podcast. It’s a fun look at what we all love – data.

Why I like it:

It’s well thought out and produced, and introduces current topics in data science. Although the earlier episodes do get into some of the details of data science a bit (e.g. talking about specific algorithms), the current season is more focused on higher-level view of data topics with recent examples from the real world.

Hosts: Jonathan Morgan, Chris Albon, Vidya Spandana

Episodes

41

Mean Length

38 min.

Median Length

38 min.

Download

iTunes
Stitcher


Measured Directionmeasured direction

This is a brand new podcast – less than two months old. But it’s already clear that it will be another source of helpful feedback from a couple of industry veterans. They cover topics related to digital analytics and marketing strategy using a Q&A format, so go ahead and submit your questions.

Why I like it:

They offer helpful, real-world advice as they answer questions from their listeners. For example, in the second episode, they discuss last-touch attribution and Google Analytics certification and product updates.

Hosts: Tom Miller and Jason Rose

Episodes

2

Mean Length

35 min.

Median Length

35 min.

Download

iTunes


The Present Beyond Measure Showpresent beyond measure

This cast is all about data visualization and presentation skills for digital marketers, analytics and BI practitioners. It’s packed with actionable tips to make your presentations more compelling and help you better tell your data stories. In addition to providing data design best practices, there’s also the occasional special guest (including Jim Sterne, Krista Seiden, Adam Greco and more).

Why I like it:

The actionable advice on how to better convey the insights from your data is priceless. This podcast is a helpful reminder that effectively communicating the stories that our data tell is just as important as the analysis itself.

Host: Lea Pica

Episodes

17

Mean Length

37 min.

Median Length

30 min.

Download

iTunes
Stitcher


Mine that Data Radiomine that data

From the self-proclaimed “Grandfather of Analytics,” this show is just one guy giving his opinion on data-related topics through the lens of someone who’s been there and done that at several major retail brands. Although I tend to avoid the “solo” podcasters, this is Kevin Hillstrom – a well-respected, highly-lauded industry leader with decades of experience.

Why I like it:

As an analyst, I like the way this podcast forces me to think of larger, often organizational issues. This is an executive-level view of the work we do, which isn’t always how we view it ourselves.

Host: Kevin Hillstrom

Episodes

18

Mean Length

32 min.

Median Length

31 min.

Download

iTunes
Stitcher


What’s the Pointwhats the point

From the smart folks at FiveThirtyEight, this short weekly cast has a tagline of “Big Data, Small Interviews.” It provides interviews that highlight data’s growing influence in our lives, and how it’s being used.

Why I like it:

This show is helpful to stay up on current topics in data – how data is being used and the people using it. It stays fairly high-level, so it’s refreshing to listen to after staring at pivot tables all day.

Host: Jody Avirgan

Episodes

20

Mean Length

36 min.

Median Length

34 min.

Download

iTunes
Stitcher


Raw Dataraw data

Raw Data is a Worldview Stanford podcast about how big data and cyber systems are transforming our world. They release new episodes about every two weeks with focuses on singular topics for each episode. Interesting recent topics include the digital afterlife (what happens to our data when we die), and the big data of nature.

Why I like it:

They do a great job of storytelling in each episode, often tying together multiple stories with a single thread. This is another show that is outside the strict confines of digital analytics, which helps to see things from another perspective.

Hosts:Leslie Chang and Mike Osborne

Episodes

9

Mean Length

27 min.

Median Length

26 min.

Download

iTunes
Stitcher


Data Skepticdata skeptic

This weekly podcast features interviews and discussions of data-related topics, from data science and statistics to machine learning and artificial intelligence. It often alternates between “mini” episodes that explain a single statistical concept (e.g. R-squared, multiple regressions, etc.) and longer form episodes that present a broader topic with interviews.

Why I like it:

This cast helps brush up on some of the underlying math and statistics of our industry and often introduces concepts new to those of us who don’t boast PhDs in math or statistics. Also, with 99 episodes, this is a great candidate for binging on that next cross-country flight or long drive.

Hosts: Kyle Polich and Linh Da

Episodes

99

Mean Length

26 min.

Median Length

18 min.

Download

iTunes
Stitcher


Data Storiesdata stories

This is one of the longer-running podcasts in this genre, with episodes going back to February of 2012! It covers the latest developments in data analytics, visualization, and related topics, often through interviews.

Why I like it:

The longer format of the show allows for more of a deep dive into the topic at hand. If you’re looking for a good episode to start with, I highly recommend episode 67 – a discussion of ggplot2 with the creator himself, Hadley Wickham.

Hosts: Enrico Bertini and Moritz Stefaner

Episodes

70

Mean Length

63 min.

Median Length

66 min.

Download

iTunes
Stitcher


Linear Digressionslinear digressions

This is a shorter, weekly podcast that explores topics in machine learning and data science. It provides, quick, digestible chunks of information about often complex topics with interesting analogies.

Why I like it:

This is great for its brevity – if you have 15 minutes on your lunch break, you can learn about paradigms in artificial intelligence or Zipf’s law. They also do a really good job of introducing the concepts with real-life context.

Hosts: Katie Malone and Ben Jaffe

Episodes

65

Mean Length

15 min.

Median Length

12 min.

Download

iTunes
Stitcher


Learning Machines 101learning machines

This is a deep dive into the world of machine learning, covering questions about artificial intelligence in our everyday lives. This cast doesn’t shy away from the technical details, so put on your thinking cap for this one.

Why I like it:

This is a great introduction into machine learning, broaching a range of concepts from classifying patterns with support vector machines to the use of Monte Carlo Markov Chains.

Hosts: Dr. Richard Golden

Episodes

46

Mean Length

31 min.

Median Length

31 min.

Download

iTunes
Stitcher


Talking Machinestalking machines

This biweekly podcast, from Harvard’s School of Engineering and Applied Sciences, also focuses on machine learning. This show is for machine learning like a measurement strategy is for digital analytics: it’s not in the weeds, but instead looks at broader implications of the technologies.

Why I like it:

This podcast includes discussions of current news and events in the realm of machine learning. It helps keep a pulse on the industry, while providing conversations with and viewpoints of experts in the field.

Hosts: Katherine Gorman and Ryan Adams

Episodes

29

Mean Length

39 min.

Median Length

40 min.

Download

iTunes
Stitcher


So that’s it! Let us know if there’s a new podcast we should be listening to!

Jim Gianoglio is a Senior Analytics Consultant. He works with implementation, analysis and training of Google Analytics and Google Tag Manager. Before focusing on analytics, he led the SEO campaigns of Fortune 500 companies in the insurance, retail and CPG industries. Things you didn’t know about Jim: he’s biked from Pittsburgh to Washington DC in 41 hours, roasts coffee beans and has done voiceovers for TV commercials.

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