Integrating Data Science Across the Curriculum (feat. Yolanda Gil)

<p>“I think over time, in every discipline, there’s more and more eagerness to connect with data science, or AI, or both.”</p><p>On this episode, Yolanda Gil, a Research Professor of Computer Science and Spatial Science at the University of Southern California and Principal Scientist at USC’s Information Sciences Institute, discusses how U<strong>SC makes programming and data science more accessible to non-programmers</strong> in hopes of <strong>creating more diversified data science teams</strong>. She also shares how student’s eagerness to connect with data science and AI has led USC to <strong>“rethinking” current degrees</strong> and <strong>incorporating data science across their curriculum</strong>.</p><p>“We’re not just creating new degrees, we’re also rethinking our current degrees.”</p><p></p><p></p> <br/><br/>This is a public episode. If you would like to discuss this with other subscribers or get access to bonus episodes, visit <a href="https://datascienceeducation.substack.com?utm_medium=podcast&#38;utm_campaign=CTA_1">datascienceeducation.substack.com</a>