7 Data and Analytics Podcasts to Add to Your Feed

“Data” and “podcast” are two of the biggest buzzwords of the last few years, and plenty of analytics pros turned audiophiles are getting in on the trend. Here are seven useful data and analytics podcasts. 

Host: Kyle Polich, a mentor at Thinkful

Frequency: Weekly

Length: Varies, shorter episodes of about 10 minutes introduce concepts and longer episodes of about 45 minutes include interviews with experts.

What’s it about? “Conversations on topics related to data science, statistics, machine learning, artificial intelligence … all from the perspective of applying critical thinking and the scientific method to evaluate the veracity of claims and efficacy of approaches.”

Recent episodes:

  • “Data Provenance and Reproducibility with Pachyderm”
  • “Studying Competition and Gender Through Chess”
  • “The Police Data and the Data Driven Justice Initiatives”

Sample iTunes review: “Very informational and well made. I first came to find this podcast through an interest in machine learning and big data but found the other topics discussed to be very interesting as well.”

Twitter handle: @DataSkeptic External link 

Host: Michael Helbling, director of analytics at Search Discovery, and Tim Wilson, a senior partner at Analytics Demystified

Frequency: About twice a month

Length: 45 to 60 minutes

What’s it about? The podcast was dreamed up “after a few pints and a few hours of discussion about the cutting edge of digital analytics” at the eMetrics Conference. Each episode “is a closed topic and an open forum—the goal is for listeners to enjoy listening to Michael and Tim share their thoughts and experiences and hopefully take away something to try at work the next day.”

Recent episodes:

  • “PSA: R and Statistics for the Digital Analyst”
  • “Internal Analytics Organizational Structures”
  • “Assessing Analytics Job Descriptions”

Sample iTunes review: “I listen to a few nerdy analytics/data podcasts, and this is probably my favorite one. The hosts are charismatic and fun to listen to, the topics go deep instead of broad, and they touch a wide variety of topics, both conceptual and practical.”

Twitter handle: @AnalyticsHour

Length: Weekly

What’s it about? Datapine says this podcast from IBM Big Data and Analytics Hub “helps make sense of the big data jungle by breaking down what big data is.” The show covers “data science, analytics, and data visualizations, and experts from all over the industry are interviewed on easily digestible episodes.”

Recent episodes:

  • In “Feature hashing for scalable machine learning,” Nick Pentreath, a principal engineer at IBM and author of “Machine Learning with Spark,” covers “the basics of feature hashing and how to use it.”
  • In “Why is prescriptive analytics essential for businesses?” Ferenc Katai, offering manager for IBM ILOG CPLEX Optimization Studio, discusses “why prescriptive analytics is essential for businesses.”
  • In “Machine learning in cognitive analytics,” Dinesh Nirmal vice president of IBM Analytics Platform Development, talks about “the role that machine learning plays in enterprise cognitive analytics initiatives.”

Twitter handle@IBMAnalytics

Host: Ben Lorica, O’Reilly Media’s chief data scientist

Length: Somewhere between 30 and 60 minutes

What’s it about? “Explores the opportunities and techniques driving big data, data science, and AI.”

Motto: “We highlight the people putting data to work.”

Recent episodes:

  • “The key to building deep learning solutions for large enterprises”
  • “2017 will be the year the data science and big data community engage with AI technologies”

Sample iTunes review: “I’m a newb when it comes to big data … . For me this podcast is very helpful in that sense that I’m listening to the insiders in their native setting. There’s a lot of terminology employed, but if you hang in there you find that after a bit you know this from that.”

Twitter handle: @strataconf

Host: Three data science experts—Chris Albon (PhD, political scientist), Jonathon Morgan (software architect, White House data science advisor, Brookings Institution author on counter-terrorism), and Vidya Spandana (engineer, co-founder of DMV.org, Presidential Innovation Fellow (Open Data) for President Obama).

Frequency: Irregular, but at least weekly

Length: Anywhere from 7 to 70 minutes, but typically around 40 minutes

What’s it about? Started in 2014, “Partially Derivative” has been called “Car Talk for the data community.” The hosts say their podcast is “about data science in the world around us,” and that its episodes “are a mix of explorations into the techniques used in data science and discussions with the field’s leading experts.” In an email, Albon described the podcast’s theme as: “the bar after a day at a data science conference. It isn’t meant to be educational, but entertaining. If you learn something from listening, that is a bonus.”

Motto: “For the nerdy and nerd curious.”

Recent episodes:

  • “Your Surveys Suck,” in which interview survey methodology expert Dr. Frauke Kreuter talks about “how we can design better surveys and where people often fail.”

Sample iTunes review: “I’m new to data science and this podcast has been key to making the field more accessible and giving me tips on where to start and what conversations to pay attention to. Plus, it feels like sitting at a bar with friends, talking about cool ideas, laughing, and drinking good beer.”

Twitter handle: @partiallyd

Host: Lea Pica, Director of Data Visualization + Storytelling at Search Discover

Frequency: About twice a month

Length: Between 30 and 60 minutes

What’s it about? Located at the intersection of analytics, data visualization, and digital analytics. Pica goes over “how to create data visualizations and presentations quickly, how to hold your audience’s attention, create compelling visuals inside and outside of your analytics and business intelligence platforms, and how to gain the confidence you need to rock the conference room (or stage).”

Motto: “If you’re ready to present your ideas and insights to inspire data-driven decisions, you’re in the right place!”

Recent episodes:

  • “Google Analytics god, Justin Cutroni”
  • “Stéphane Hamel on Maximizing Your Analytics Visualization Toolbox”
  • “Presentation Horror Stories with the Digital Analytics Power Hour”

Sample iTunes review: “This podcast is full of useful and applicable information and even though it’s about data visualization, Lea does a wonderful job of explaining what she’s doing via audio, which is no easy feat!”

Twitter handle: @LeaPica

Host: Cara Hogan of SaaS company InsightSquared

Length: Around 20 minutes

What’s it about?: RAMP is “the SaaS analytics podcast that explores the stories of how people use data to transform and rapidly grow their business.”

Recent episodes:

  • Stopped in July 2016, but there are 37 episodes archived in iTunes.

Sample iTunes review: “Would it be hyperbolic to say that the thought leadership here rivaled the great thinkers of the past, like Plato, Galileo, and the person who invented mixing Swiss Miss packets into a cup of coffee?”