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“I wish we had a manifesto, I guess, like some guiding principles that are common to everyone teaching data science across the globe, because if you start looking at different units doing data science teaching, they're always attached to their own immediate neighborhood of discipline…But there are some commonalities, of course; we're teaching the same tools, the same techniques, and there are some of those interpersonal dynamics that I mentioned, that I wish we all taught in common, because we have those things in common.”
In this episode, we delve into the world of data science education halfway across the world with Dr. Jon Cardoso-Silva from the London School of Economics. Dr. Cardoso-Silva shares his journey from industry data scientist to educator and discusses the challenges and opportunities in the field of data science education. Discover how he integrates open-source course materials, experiments with large language models in the classroom, and explores the dynamics of data science teams. Listen in for an insightful conversation on the evolving landscape of data science education and the importance of creating a global community of educators in this field!
“It's not about the best deep learning model. It's more about, do we know what we need from each other? Do we know what the client or the user wants? Or if it's a research project that uses data science, where does that research go? What is the research objective?”
Navigating the Data Science Education Landscape (feat. Jon Cardoso-Silva)