The Data Science Education Podcast

Access the full transcript for this episode “We introduce a new data set to them every week, and we try and use data sets that are either themed around Illinois, or themed around things that we think that they are interested in. And so that's been something that we started doing when we first piloted the course, and have continued to do that each semester. And the students really are invested in t...

Access the full transcript for this episode “One of the ways we incorporate ethics is by trying to expose students to a plurality of perspectives. So we want students to hear from people with different perspectives on what it means to engage with data ethically, and so we do this by hosting guest speakers. We encourage students to take classes in a variety of departments around campus. We also try...

Access the full transcript for this episode “Entonces lo que yo procuro hacer con los estudiantes que son de áreas como de humanidades o ciencias sociales, es asociarlo como a situaciones cotidianas, haciendo analogías o buscando ejemplos de cosas que cualquiera ha experimentado. Eh como que se desarrolle esa intuición y ya después pues lo lo le ponemos como él la forma de de la sintaxis y ya el l...

Access the full transcript for this episode “I literally collected 150 jobs on Indeed.com and parsed out all of the skills that were mentioned in all the jobs, created a graphic and said, Okay, here's the courses we already have that have these skills, and here's the skills I need to create courses for .” Today, we sat down with Crystal Wiggins, a pioneering educator in two-year college data scien...

Access the full transcript for this episode “I developed a class called DS 100, which is in a lot of ways very similar [to Data 8], with the primary objective being, I want people to walk away from the class with saying I understand what data science is . I can do a little bit of programming, and now it's up to me whether I think it's interesting or not. I don't want anyone ever to feel like they...

Access the full transcript for this episode “So what we do in Data Feminism is try to synthesize a whole lot of feminist ways of thinking about the world, that have to do with questions of bias and oppression, that have to do with questions of sort of unequal power, and who gets to make choices about how to design systems — with these sort of really broad social questions, we try to apply them to...

Access the full transcript for this episode “We're kind of in an early phase among most social scientists, trying to figure out what's new here, what's different, and how to integrate it with our standard social science methodological concerns, which I don't think we should abandon. Thinking about the relationship between theory, concept and measurement. For example, that's one of the things that...

Access the full transcript for this episode “You can be hoodwinked with data in the same way that you can be hoodwinked by a car salesman. And so the idea of [Calling B******t] was to step away from all the details of the black box: that's the statistical procedures, the algorithms, etc. (Not to say that we don't pay attention to what we do.) But the idea is to really pay attention to the input da...

Access the full transcript for this episode Join us as we speak with three different guests, all UC Berkeley Data Science alumni, who have gone on to pursue higher education . Ranging from learning sciences to epidemiology, our guests share their experiences, challenges, and insights into how their data science education prepared them for their current paths. Ashley Quiterio , a PhD student in Lea...

Access the full transcript for this episode “UC Merced opened in 2005, so we were starting from a very different place than lots of campuses are. So I try very hard to be really intentional about when we think about hiring people; we want to be very aware of ways that unconscious bias plays out in in hiring. When we invite people to give seminars, we try to invite people from variety of background...

Access the full transcript for this episode “We are definitely a Hispanic enrolling institution, but the TIPS project is aiming to embrace that ‘serving’ term, and just the ideal of serving our Hispanic students. Through the TIPS project, there's a ton of professional development — very deep, profound professional development. We want an entire department to participate in the TIPS pathway because...

Access the full transcript for this episode “Whenever I'm trying to teach people, I try to demystify the verbiage around computer science and data science, getting people to understand that we can talk about things in a way that makes more sense to you, by using words that you're more familiar with. When we're using all these words that people aren't familiar with, that's automatically going to ge...

Access the full transcript for this episode “Getting Python workshops, data analysis workshops…and our own Datathon, provided a lot of low stakes, low commitment opportunities [for students], and just getting in the faces of students, telling them they should try it out, has been helpful in at least generating excitement around data science for students to actually inquire about it.” In this episo...

Access the full transcript for this episode “For a long time, I didn't want to write a book about statistics…But I felt that the two things that I could add, based on my BBC experience, was, one, a kind of psychological realism : a recognition that a lot of what we think is not really about, oh, you got confused between correlation and causation or something like that. The problem is you believe s...

Access the full transcript for this episode “Our focus is very balanced across foundations and applications, we feel that they're hand in hand. But the Northstar of what we're building is a new discipline...We understand that Data Science is going to not just take a bunch of disciplines together to form a new discipline, but it's actually going to take things that are not even at the university.”...

Access the full transcript for this episode Welcome to the final episode of Season 8! Like every season, we’re spending our last episode talking to three recent data science graduates about navigating post-grad life and what it means to enter the industry. We start with Rebecca Hayes, a recent graduate of the City College of San Francisco, who current works as a data analyst and emphasizes the imp...

Access the full transcript for this episode “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...

Access the full transcript for this episode “So we need teachers, ones that are interested in learning data science and willing to go through the growing pains of being able to learn something new. And we need pathways. We need pathways to get students interested in things, to know about data science and know what it is, into high schools.” In this episode, we engage in a conversation with Profess...

Access the full transcript for this episode “Just like how doctors take the Hippocratic Oath, I would hope data scientists would take a similar oath and have the mantra 'first do no harm.'” In this episode, we sit down with Professor R. Uma to discuss her work in broadening participation in data science for social justice. Professor Uma shares her journey from teaching computer science at a histor...

Access the full transcript for this episode “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 to...

Access the full transcript for this episode “I noticed that my students were not engaged by the typical textbook examples that I was giving them, like the heights and weights of students or the angles of ladders against walls, and they would disengage in class…So I started asking them, what is it that y'all actually want to learn about? And they told me, they want to learn about gerrymandering, an...

Access the full transcript for this episode “It's not a matter of should we all get involved in data or data science - it's which aspect of data science am I interested in, based on my culture, my background, my beliefs, and what's important to me. And so I think that's the beginning of introducing someone to data science, is showing them how you use it every single day.” In this episode, we’re ch...

Access the full transcript for this episode “It doesn't take too long to look into social phenomena quantitatively to realize that we have profound inequities that are structural in societies around the world. It's not only the United States; these inequities are promoted by those who own resources, those who want to keep certain privileges, those who keep certain wealth at the expense of others....

Access the full transcript for this episode “I realized that it’s one thing to tell stories; stories are powerful on their own. But when you couple them with the quantitative information, they become an even more powerful storyteller together” Welcome to the final episode of Season 5! In this episode, Carrie Diaz Eaton, an Associate Professor of Digital and Computational Studies at Bates College,...

Access the full transcript for this episode “We’re starting to see many more people using JupyterLite in class because it’s much easier to grow and scale…” In this episode, we’re speaking with Jeremy Tuloup, who is a Technical Director at QuantStack and a contributor to Project Jupyter. In this conversation, he talks about Project Jupyter’s project, JupyterLite, which will allow users to run code...