5 data science podcasts to download now!
Data science is constantly changing. And there’s no better way to keep up with the latest happenings in the data-led storytelling than to pop in your headphones and listen to some informative podcasts by leaders in the industry. That’s why we’ve cherry picked the best ones out there for aspiring data scientists, designers and storytellers. Happy listening!
1. Partially derivative
In this podcast, three data enthusiasts explore “the data of everything.” Each week they tackle a new way that data has changed how we understand and experience the world. The narrative is accessible and interesting while not leaving out the technical side of data analysis.
2. O’Reilly Data Show
The Data Show focuses on interviews with leading data science practitioners. This might be a better suited to those already working in the field, as the hosts don’t hesitate to go deep with data jargon.
3. What’s the point?
Founded by numerical predictive whiz Nate Silver, this podcast discusses how data impacts everything in our daily lives. From politics to hollywood, What’s The Point? reveals how data informs everything from the mundane to the extraordinary.
4. Data Stories
If the topic of data visualisation fascinates you, be sure to tune into Data Stories podcast. Every other week, the hosts cover diverse topics in data with their guests talking about everything from smart cities to producing graphics for annual reports.
5. Linear digressions
Hosted by the founders of online education startup Udacity, this weekly podcast covers diverse topics in data science and machine learning: teaching specific concepts like Hidden Markov Models and how they apply to real-world problems and datasets. What’s great is that they make complex topics extremely accessible.
Did we miss a great data podcast? Tweet us at @advocassembly and we’ll share it with our followers!
To learn more about data science and dataviz, why not take our free courses taught by The School of Data and award-winning designer Stefanie Posavec. Find out more here.
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