As the field of data science keeps growing and enthralling fans, it’s important to keep up with the most recent developments, insights, and expert conversations. Immerse yourself in the data science field in 2024 by listening to captivating audio content. We’ve put up a list of the top 15 data science podcasts that you should listen to in order to stay informed, involved, and on the cutting edge of this exciting field.
- Linear Digressions
Explore the clever realm of machine learning and data analytics with Linear Digressions. Explore broad subjects and take in thought-provoking, humorous insights with each episode, hosted by Ben Jaffe and Dr. Caitlin Malone. - Machine Learning 101
Every month, Learning Machines 101 is a podcast that provides a welcome return to fundamentals, rendering technical subjects approachable and entertaining. Discover how intelligent devices affect our lives by asking insightful questions that strike the ideal mix between in-depth analysis and conversational topics for a broad audience. - Data-Skeptic
Listen to the Data Skeptic podcast to discover the wonders of data science. Experience critical research, enlightening conversations, and getting to know Yoshi, the adorable parrot mascot, with host Kyle Polich’s multifaceted knowledge. An unusual exploration of data! - Data Crunch
For those with an interest in machine learning, artificial intelligence, and data science, Data Crunch is a great podcast. It investigates how these technologies are affecting different industries, with experts and entrepreneurs sharing their experiences, influences, and triumphs and failures. This offers insightful information about how these technologies can be used in real-world situations. - The O’Reilly Data Show
Hosted by Ben Lorica, Chief Data Scientist at O’Reilly Media, The O’Reilly Data Show is a prominent podcast in the field of data science. Experts are interviewed for the program to explore current issues in data science and big data. Although it tends to focus more on technical topics, it provides insightful analysis on the data science industry’s future, making it more appropriate for audiences with some background in the field. - Data Science Salon
Experts in AI, machine learning, and retail, such as Philip Rossi, Laya Shamgah, and Jeffrey Yau, convene on the community-driven Data Science Salon podcast to exchange ideas, problems, and informal chats. - Talking Machines
Every other Thursday, hosts Katherine Gorman and Neil Lawrence of Talking Machines provide viewers with industry news clarification, insights, and thought-provoking questions. - Plumbers of Data Science
Discover the newest developments in big data trends and data engineering with The Data Engineering Podcast. Learn about important tools and strategies that are essential for both novices and specialists, as hosted by the forthright professional Andreas Kretz. - Data Science at Home
Join Francesco Gadaleta, Ph.D., on the Effortless AI podcast to learn about the realm of artificial intelligence with ease. In 20-minute episodes, discover subjects including deep learning, predictive metadata, and repeatable machine learning. - Data Able
Every week, Dave Mathias and Matt Jesser of Unleash Data Science provide ideas on how to maximize the value of data, how to use data to revolutionize higher education, and how to master data storytelling. - More or Less Behind the Stats
Every week, Tim Hartford analyzes numbers on his podcast. In succinct 10–20 minute episodes, renowned economist and author uncover hidden facts about business, politics, economics, and health care. - Not So Standard Deviations
Data science talks on Not So Standard Deviations by Roger Peng and Hilary Parker are interesting. Discover the newest trends, data analytic distinctions, book reviews, and Hilary’s sage advice. - Bright Lights Big Data
Weather forecast correlations and statistical uncertainty are covered in Bright Lights Big Data. Every two months, in 30-minute episodes, explore the topics of big data, smart cities, machine learning, and equity with hosts Tammy Armstrong, a data scientist, and urban planner Mike Armstrong. - IBM Analytics Insights
With knowledgeable guests, the program offers in-depth conversations on complex data science subjects. Weekly episodes, designed with industry experienced in mind, offer technical depth while examining intriguing topics such as cybercrime and video analytics. Even for individuals who are unfamiliar with the intricacies of data science, the podcast’s captivating style guarantees their attention. - The Data Lab Podcast
With The Data Lab Podcast, delve into the ever-evolving field of data science. Even with sporadic updates, the award-winning projects can provide you with insightful hiring advice from visitors who are skilled data scientists.
