Podcasts About Data

Updated May 1, 2024

Ever listen to these Podcasts About Data? We promise you'll find some new shows. Here are 25 of the top ones.

Super Data Science

Super Data Science is a podcast hosted by Jon Krohn, a data scientist and machine learning expert. The podcast covers a range of topics related to machine learning, A.I., and data science career success. Guests on the show include some of the top minds in the data science and machine learning community, such as Andrew Ng, Mike Tamir, and Hilary Mason. The podcast discusses topics such as career advice, education, and the latest trends in the data science and A.I. fields. In addition to conversations with experts, the podcast includes interviews with successful data scientists, as well as tips and tricks for career success in the data science field.

Data Skeptic

Data Skeptic is a podcast hosted by Kyle Polich that focuses on topics related to data science, machine learning, and artificial intelligence. Each episode features interviews with experts in the field, as well as in-depth discussions with Kyle on the latest developments in the world of data science. Topics range from Bayesian predictive analytics to deep learning algorithms, and the podcast is designed to be accessible to both data scientists and those interested in learning more about the data science field.

Data Engineering Podcast

The Data Engineering Podcast is a weekly show hosted by Tobias Macey that covers the various aspects of data engineering, from data storage and retrieval to data processing and analysis. Each episode features interviews with experts from the data engineering field, discussing topics such as distributed systems, big data, machine learning, data visualization, artificial intelligence, and more. The podcast provides an engaging and informative look into the world of data engineering, and is an excellent resource for anyone looking to learn more about this often-overlooked field.

Practical AI: Machine Learning, Data Science

In this podcast, hosts Adam Stacoviak and Jerod Santo discuss the practical aspects of using machine learning and data science to solve real-world problems. They talk about how to get started with AI, the challenges that come with building AI-driven systems, and the potential benefits of using AI. They cover topics such as supervised and unsupervised learning, neural networks, and the ethical implications of using AI. They also feature interviews with leading experts on the topic and look at how AI is being used in various industries.