Preparing Data Science Undergrads for Industry (feat. David Chew and Vik Gopal)

<p></p><p>"Now in data science, I find that what the students need is more of an ability to integrate different models and different techniques on their own."</p><p>In this episode, Vik Gopal and David Chew from the National University of Singapore (NUS) delve into the university's growing Data Science major, as well as their roles as instructors for courses in Data Visualization and <strong>Data Science in Practice</strong>. They also discuss the <strong>university-wide required data literacy course</strong>, a no-coding class taken by most first-year students, as well as share their insights into the differences between teaching Statistics and Data Science.</p><p>"We came up with projects, but the projects have to be very vague and open-ended, just like in practice, which will put [students] in a situation where they feel kind of lost...it's up to them to be resourceful to learn what they need."</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>