If you’re a data science enthusiast, you’ve doubtless read many of the classic books — both popular science and academic — that cover the field. But what if you want to expand your data science horizons but don’t have time to read a full book? Podcasts are a great way to enhance your education without sacrificing precious time. You can listen to them while commuting, cleaning, or performing any number of other tasks. Here are six of the best data-science-oriented podcasts to listen to if you’re a fan of popular data science books:
Brought to you by the same team that brought you the best-selling Freakonomics, SuperFreakonomics and Think Like a Freak trilogy, “Freakonomics Radio” takes a look at the data-driven “hidden side of everything.” Stephen J. Dubner and Steven D. Levitt’s podcast series uses the data behind real-life stories to shed light on everything from the ROI of undergrad to the correlation between cost and taste for expensive wines.
If you’re interested in machine learning, Learning Machines 101 is the place to go. Dr. Richard M. Golden’s podcast series examines how smart machines and artificial intelligence work, where they come from, and how scientists are working to make them even smarter and more humanlike. The series starts out at a basic level and gets advanced, fast, so find the level where you’re comfortable and settle down for a listen.
Both Visualize This and the “Data Stories” podcast series focus on the stories behind data visualization, asking audiences what makes a good story and how stories can best be translated into a visual medium. If you’re a fan of Nathan Yau’s detailed breakdowns of infographics and other data visualizations over at FlowingData, you’ll love the information contained within “Data Stories.”
Data Science for Business and “OCDQ Radio” both tackle how data science is used for business and the corollary field of business intelligence. “OCDQ Radio” expands on this, however, offering valuable thoughts from those who work in the data management industry day in and day out. The podcast presents a great look at data quality and data management from those who know it best.
Nate Silver’s FiveThirtyEight is home to multiple types of podcasts, including the perennial favorite “Hot Takedown,” which focuses on the data of sports. FiveThirtyEight’s other podcasts, however, focus on using data to solve everything from transportation problems to genealogy, topics that will be familiar to readers of Nate Silver’s classic book, The Signal and the Noise.
Big Data: A Revolution That Will Transform How We Live, Work, and Think was a great text specifically because it drew on the work and experiences of industry experts. If you want more of the same, “The O’Reilly Data Show Podcast” features Ben Lorica, O’Reilly Media’s Chief Data Scientist, in conversation with experts about various data science topics.
Do you agree with our choices? What are your favorite data-oriented podcasts? Let us know in the comments section!