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“One of the things that I tell my students is like, you are learning how to learn as well. And being able to provide students with the guardrails, provide them with the support that they need to realize what they find interesting. I think that's one of the things I tried to do in these large classes.”

In this episode of the Data Science Education podcast, join us in our conversation with Lisa Yan, an assistant teaching professor in Electrical Engineering and Computer Science at UC Berkeley. Discover the interdisciplinary nature of data science education, the challenges of teaching large classes, and the importance of creating a supportive community for students. Lisa Yan shares her experiences in teaching gateway classes like Data 100 and Data 101, emphasizing the need to empower students and cultivate problem-solving skills. Explore the intersection of technology, society, and power as Lisa discusses her seminars on social implications of computer technology and technology, society, and power.

“I have the realization everyday that the study of data science is not just a technical one, but that it's applicable to pretty much anything and everything because we are living in the world of data. And so understanding not just as a citizen, how the data flows around us, but also understanding how we as data scientists can change the world around us with the way that we analyze data and understand data and share our findings from data. I think that's really, really important that we continue to make such a field interdisciplinary and open to many, many different students.”

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