The Data Science Education Podcast
Produced by UC Berkeley's Data Science Undergraduate Studies, this podcast features conversations with distinguished data science educators and professionals. Guests share diverse experiences and perspectives, all aimed at shaping the future of data science education. Transcripts are available on the podcast's Substack page.
Episodes
Recent Data Science Graduates: Transfer Pathways, Real-World Projects, and Career Advice (feat. Mike Alfaro & Annet Isa)
Access the full transcript for this episode“Data science shows up in a lot of places where people don’t expect, but at the end of the day, the goal is the same: using data skills and data tools to help organizations make better decisions.”— Mike Alfaro“If it feels hard, it’s because it’s unfamiliar. The more you do it, the easier it will get, and the more fun you’re going to have.”— Annet Isa In t
Data About Data Science: Rethinking How We Teach (feat. Alana Unfried)
Access the full transcript for this episode“Students can say, I understand what’s in this data, because I’m part of the data.” — Alana UnfriedIn this episode, we speak with Alana Unfried, Professor of Statistics at Cal State Monterey Bay, about the future of statistics and data science education. Alana shares her path from classical statistics training to undergraduate teaching, educational resear
Breaking Down the Walls: Community-Centered Data Science Education (feat. Kagba Suaray)
Access the full transcript for this episode“Data science, to me, is all about breaking down walls—breaking down walls between disciplines, and breaking down walls between faculty and students.”In this episode, we speak with Kagba Suaray, Professor of Mathematics and Statistics at Cal State Long Beach, about building a more community-centered vision for data science education. Kagba shares how his
A New Frontier: Computational Health and AI Innovation (feat. Adam Yala)
Access the full transcript for this episode“A big passion was, how do we think through care? Improvement is fundamentally like a first-order AI problem, not just how to make it easier to do clinical care of today…but how do you make new types of things possible?…If we dig really deep into what’s happening: Why? Why is it caught at this time? Why do we see it in this way? And I think latent into ev
Rethinking Calculus: Building Math for Data Science at CSU East Bay (feat. Mikahl Banwarth-Kuhn)
Access the full transcript for this episode“I think we had this feeling that there’s so many students that don’t make it to calculus, and that in the field of data science and the STEM field itself, we really have a gap to fill because we’re missing all of that knowledge and expertise that those students that don’t ever get through calculus would really bring to the field.” In this episode, we spe
Building Data Science Pathways at a Community College (feat. Rachel Saidi)
Access the full transcript for this episode“When you go out and talk to other people, you realize that you become the opposite of being siloed. You really start to realize that you might have been in an echo chamber when you were talking amongst your own colleagues, and when you start to hear other people, you go, Oh, there’s more that I could understand.”Today, we speak with Rachel Saidi, Profess
Scaling Earth System Science: Open Data and CryoCloud (feat. Tasha Marie Snow)
Access the full transcript for this episode“I think of data as being the base of the scientific pyramid that we have. You literally can’t do science if you don’t have data—and good data. If your data is bad, then your science is going to be bad. So really, at the heart of science and research is having good data that people can find, and people can access and use.”In this week’s episode, we speak
Scaling Data Science Education with JupyterHub (feat. Min Ragan-Kelley)
Access the full transcript for this episode“The goal of the students is not to learn how JupyterHub works. The goal is to learn what’s the topic of the course. So we want to make it as easy as possible to get into an environment where they can learn what they’re actually there to learn, and not get in their way with the tools that they’re supposed to be using.”Welcome to season 11 of the podcast!
Recent Data Science Graduates: Storytelling Through Data Journalism (feat. Ian Castro and Lydia Sidhom)
Access the full transcript for this episode“From my own experience, you don’t need to really be the perfect data scientist to do the work. I think, especially at Berkeley, there’s a lot of pressure to know everything. That’s not necessarily the case…For a lot of the types of work that I do and in my industry, you don’t actually need to have or be the most technical person…The thing that’s actually
Faculty and Student Voices from Cal Poly Humboldt: Data Science in Action (feat. Kamila Larripa, John Gerving, and Jonathan Juarez)
Access the full transcript for this episode“I think the biggest thing I would say is just involve students in real work as early as possible. I think sometimes we have in our mind, oh, we cannot do research with students until they’re advanced in their mathematical studies, but I’ve actually found this isn’t true. I think if there’s a compelling project and students are excited about it, they are
Equity in the Classroom: Allison Theobold on Teaching Data Science with Empathy
Access the full transcript for this episode“The driving framework of how I think about equity in my classroom is from a paper by Rochelle Gutiérrez, who is a fairly predominant math educator, about equity being of these two axes: the dominant and the critical. It has four main components—access and achievement—which form the dominant axes, and identity and power, which form the critical axes. I th
Crossing Disciplines with AI: A Conversation with "My Robot Teacher"
Access the full transcript for this episode“It struck me that academic integrity is a serious issue, but one whose treatment I felt was overly punitive. I don’t want us to have to act as police for our students. Students very much want to do the work, but they often are just ignorant, for whatever reason, of what academic standards at the university level are. And so I wanted to instill this kind
Scaling Impact: How Community Colleges are Shaping Data Science Access (feat. Kyla Oh)
Access the full transcript for this episode“The biggest challenge for us initially was just, where does data science live? Is it in your math department? Is it in your computer science department? Who's going to teach it? Are you going to have a math faculty? Computer science faculty? And then once you decide where it's going to be, then you have to ensure that you have faculty who are willing to
Supporting Teachers and Building Communities (feat. Hannah Kurzweil)
Access the full transcript for this episode“I feel like most practicing teachers grew up in the same educational system that I did where you are penalized for getting the wrong answer, and you kind of get into this flow of needing to have the correct answer. And that has really informed the way that they teach—they're afraid to be wrong. And so the number one thing I work with teachers on is reall
Building a Hub for Data Justice (feat. Dr. Amy Yeboah Quarkume)
Access the full transcript for this episode“At Howard, we're looking at having people understand that data is the new oil, right? Everyone has access to it, everyone should be aware of it, everyone should be able to understand where they fall when it comes to their own data, but not knowing that cost. So we want everyone to kind of have a space to say, I'm not a computer scientist, I am not someon
Mentoring with Code: Best Practices for Data Science in Epidemiology (feat. Jade Benjamin-Chung)
Access the full transcript for this episode“We're all used to tracking changes in Word, so why wouldn't we want to have something like that for our code? And we're all used to Google Docs where we can collaborate in real time, so why wouldn't we want to be doing that with our code too? So both for keeping track of changes and for facilitating collaboration, anyone who I work with, I mentor them in
What I Wish I Knew: Transfer Reflections on Entering Berkeley Data Science (feat. Avani Gireesha, Hannah Brown, Jake Pastoria)
Access the full transcript for this episode“I never thought I would find that sense of community here, especially as a transfer, because I've heard so much about the stereotypes…I think a club really helped combat that” —Avani GireeshaIn our final episode of Season 9, we hear from three graduating UC Berkeley seniors, all of whom transferred from California community colleges into the Data Science
Interdisciplinary Roots and Inclusive Pathways in Data Science (feat. Mike Ludkovski & Alex Franks)
Access the full transcript for this episode“There's a famous quote by a statistician, John Tukey, who's often associated with sort of introducing and promoting the concept of exploratory data analysis. And his quote is that the best thing about being a statistician is that you get to play in everyone's backyard, by which he means, as a data scientist, you get to dabble in all of these different ar
Open Science, Jupyter, and Data Science Education (feat. Fernando Pérez)
Access the full transcript for this episode“Lo nuevo que va a entrar al curso esta vez es la pregunta de qué hacemos con las herramientas de inteligencia artificial en este contexto. ¿Cómo? ¿Cómo usar? Yo no voy a pretender que eso no existe. Yo creo que es absurdo hoy en día imaginarnos que los estudiantes no lo van a usar. Prohibirles usar esas herramientas yo creo que es, es, es fútil. Entonces
Teaching Data Science in a Changing World: Judith Canner on Reform, Collaboration, and Social Good
Access the full transcript for this episode“I think a lot of times, we focus on data science as a tech thing, right? Oh, you're going to go work for Meta. You're going to go work for Google. You're going to go work for insert tech company here or AI startup here. And for a lot of students, especially a lot of my students, they really want to contribute to their communities and give back, right? Th
Beyond Calculations: Ani Adhikari on the Art and Philosophy of Data Science Education
Access the full transcript for this episode“It was in the 1970s that David Friedman and his colleagues completely changed the way statistics is taught in the world, from going from just an emphasis on calculation, calculation, calculation, without really paying any attention to, what's the question, and what can you do with the answer?… Why does anyone care? What is the calculation that you can ju
The AI Revolution in Data Science (feat. Paul Groth)
Access the full transcript for this episode“I think one of the things we've approached in our data science curriculum is this idea that data science is a team sport…You're never really doing data science on your own. You're always in a team and you're working with product managers. You're working with end users. You're working with software engineers. You're working with salespeople. And that idea
Empowering Community College Students Through Data Science (feat. Nathalie Guebels)
Access the full transcript for this episode“A lot of times, you think as a young woman, well, I want to do something where I can care for the world, where I can make a difference in the world to make it better. Women often don't relate that to computer programming. And so that's where data science comes in and tells a story, where it combines not just the computational skills, but the statistical
Navigating the Data Revolution: Insights from ADSA Founder Micaela Parker
Access the full transcript for this episode“If you're worried that the AI hype is subsuming data science, remember: you can't have AI without data—data science isn’t going anywhere.”Welcome to Season 9 of the show! To start off the new year, listen in on our conversation with Micaela Parker, founder and executive director of the Academic Data Science Alliance (ADSA). Micaela shares her journey int
Student-Led Innovation: Alumni Stories of Building Berkeley’s Data Science Program (feat. Alan Liang, Vinitra Swamy, Gunjan Baid)
Access the full transcript for this episode“I would recommend double majoring with a different degree, because I think while data science by itself is a very, very useful and versatile degree, I think being able to apply it to a particular domain overall makes you a better statistician, or economist, or historian, right?”—Alan LiangIn the final episode of the season, we explore the pivotal role st
Building STAT 107: Revolutionizing Data Science at Illinois (feat. Karle Flanagan & Wade Fagen-Ulmschneider)
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 th
From Social Systems to Statistics: Stanford’s Innovative Data Science Degrees (feat. Mallory Nobles & Dennis Sun)
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
From Law to Data Science: Camilo Andrés De la Cruz Arboleda’s Journey into Tech Education
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 le
Data Science in Two-Year Colleges: From Curriculum Design to Industry Collaboration (feat. Crystal Wiggins)
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 science
From Software to Academia: Langdon White’s Mission for Inclusive Data Science
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 ca
Exploring Digital Humanities (feat. Lauren F. Klein)
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 d
Navigating the Intersection of Sociology and Data Science (feat. David J. Harding)
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 s
Navigating the Data Maze: Building a Foundation for Analytical Thinking (feat. Jevin West)
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 dat
From Data Science to Higher Education: Navigating Career Transitions (feat. Ashley Quiterio, Anna Nguyen, Rodrigo Palmaka)
Access the full transcript for this episodeJoin 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 Learnin
Empowering Curiosity: Advancing Diversity in Data Science (feat. Suzanne Sindi)
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 backgrounds
Intersectionality and Inclusivity (feat. Omayra Ortega)
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
From Curiosity to Career: The Hack the Hood Story (feat. Henry Bowe)
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 get
Empowering Community College Pathways to Data Science (feat. Denise Hum)
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 episode
Decoding Data Realities: A Journey with Tim Harford
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 som
Bridging Disciplines: Shaping the Future of Data Science Education (feat. David Uminsky)
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.”He
Navigating the Diverse Landscape of Data Science Careers: Insights from Recent Data Science Graduates (feat. Rebecca Hayes, Jacob Cavanaugh, Yash Potdar)
Access the full transcript for this episodeWelcome 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 impo
Navigating Gateway Classes and Building Community (feat. Lisa Yan)
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,
Empowering Tomorrow's Data Scientists (feat. Solomon Russell)
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 Professor
Broadening Participation in Data Science for Social Justice (feat. Uma Ravanasamudram)
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 historic
Navigating the Data Science Education Landscape (feat. Jon Cardoso-Silva)
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 too
How to Skew the Script: Transforming Math Education (feat. Dashiell Young-Saver)
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, and
Equitable Access in Data Science (feat. Kari Jordan)
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 chat
The Intersection of Data Science, Mathematical Biology, and Social Justice (feat. Juan Gutierrez)
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. A
Intertwining Data Science and Social Justice (feat. Carrie Diaz Eaton)
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, de
Increasing Access to Interactive Computing for Educators (feat. Jeremy Tuloup)
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 di
Utilizing Data Science for Social Good and Interdisciplinary Research (feat. Sarah Stone)
Access the full transcript for this episode“An emphasis that we really put on the work that the students are doing is to think about the ethical landscape in which the work is taking place…how to do that work responsibly and to do what is actually going to be meaningful to the stakeholders versus maybe what's the coolest new technique in machine learning.”In this episode, Sarah Stone, Executive Di
Data Science Graduates in Industry (feat. Samantha Chean-Udell, Elda Pere, and Carlos Ortiz)
Access the full transcript for this episodeIn this season’s installment of “Data Science Graduates in Industry,” we’re speaking to three UC Berkeley alumni to learn more about how they’re applying what they’ve learned at UC Berkeley in industry. Samantha Chean-Udell is a Digital Product Associate at Converse, Elda Pere is working as a Senior Data Scientist at Curate, and Carlos Ortiz is working as
Preparing Data Science Undergrads for Industry (feat. David Chew and Vik Gopal)
Access the full transcript for this episode"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."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 Visua
Bringing Cultural Relevance to Math (feat. Niki Wells)
Access the full transcript for this episode“…We try to make high-level, engaging curriculum for math, and the best part about it is we figured it out using the lens of data science.”In this episode, Niki Wells, a K-12th Grade Curriculum Developer for Chicago Public Schools and Curriculum Editor for Skew the Script, shares her experiences teaching high school math and how she’s used cultural releva
Integrating Data Science Across the Curriculum (feat. Yolanda Gil)
Access the full transcript for this episode“I think over time, in every discipline, there’s more and more eagerness to connect with data science, or AI, or both.”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 USC makes programming and d
Approaching Data Science From a Neuroscience Perspective (feat. Bradley Voytek)
Access the full transcript for this episode“We take the perspective that data science is truly something unique and different, it’s not just stats plus programming…”Hello, and welcome back to the fifth season of the Data Science Education Podcast. In this episode, we’re chatting with Bradley Voytek, a professor in cognitive science at the University of California, San Diego. He shares with us how
Increasing Equitable Access to Data Science Education for K-12 Students (feat. Zarek Drozda)
Access the full transcript for this episode“You hear a lot about the metaphor ‘data is the new oil’ and I think data really is the new oil – maybe it’s even the new fabric for the way that we all interact with each other in the world…”Hey Everyone, and welcome to the final episode of Season 4. In this episode, we’re speaking with Zarek Drozda, the director of Data Science 4 Everyone, a coalition c
Increasing Representation in Data Science Research (feat. Deb Agarwal)
Access the full transcript for this episode“In this emerging world in our sciences, everyone has to understand data science and how to move forward with it.”In this episode, we’re speaking with Deb Agarwal who is Scientific Data Division Director at Lawrence Berkeley National Laboratory, which is a United States Department of Energy national laboratory managed by the University of California. She
Introducing High Schoolers to Data Science (feat. Mahmoud Harding)
Access the full transcript for this episode“...When [we] decided to take the leap and do a data science course, one of the things that we intentionally made as a requirement was for a course to have a low bar of entry, but a high probability of success.”In today’s episode, we speak with Mahmoud Harding, who is a math instructor at North Carolina School of Science and Mathematics. At NCSSM, he teac
Bridging the Gap Between Mathematics and Data Science (feat. Mario Bañuelos)
Access the full transcript for this episode“…But for math in general, I think data science education bridges this gap between the data that affects our lives and […] the more theoretical understandings of these concepts… ”Today, we’re speaking with Mario Bañuelos who is an assistant professor and Associate Chair of Mathematics at California State University, Fresno. In this episode, he shares how
Leveraging AI to Improve Education (feat. Zachary Pardos)
Access the full transcript for this episode“The second half of the vision [for my course], is that machine learning concepts should be accessible.”In this episode, we speak with Zachary Pardos, an associate professor at the UC Berkeley School of Education and director of the Computational Approaches to Human Learning research lab, where they focus on education data science and how to utilize AI to
Data Science Graduates in Healthcare (feat. Jordan Jomsky, Tiffany Yu, and Rosey Stone)
Access the full transcript for this episodeFor the third episode of the season, we’re bringing back three Cal Data Science alumni who are applying what they’ve learned to the healthcare industry. Each of them will be sharing their unique story and how they paved their own paths into the healthcare industry. Jordan Jomsky is currently working as a data scientist for the National Institute of Health
Building an Interdisciplinary Data Science Curriculum (feat. Rachel Levy)
Access the full transcript for this episode“It’s been really exciting to me in my new job … to start thinking about how data science can be taught across a whole university and touch every major, every discipline, every aspect of what we’re doing in our mission, in research, in teaching, and in engagement.”On this episode, we welcome Rachel Levy, the executive director of North Carolina State Univ
Centering Education Around Scientific Reasoning and Attitude (feat. Julia Koschinsky)
Access the full transcript for this episode“...As humans, we’re prone to fool ourselves… the good news is we can learn to use scientific reasoning and methods to counteract this constant tendency.”Welcome, and welcome back to the Data Science Education Podcast! We’re thrilled to be back and equally as thrilled to have you listening with us again.We’re kicking off Season 4 by speaking with Dr. Juli
The Intersection Between Data Science and Political Science Education (feat. David Broockman)
Access the full transcript for this episode“Any paper that I write, there is some sort of data science… and I noticed how even a little bit of coding knowledge goes a long way.”In this episode, David Broockman, an associate professor of political science at UC Berkeley, shares his perspective on how the fields of data science and political science intersect within coursework. David shares his exp
The 'Data 8 Story' - Bringing Data Science Education to UC Berkeley (feat. John DeNero)
Access the full transcript for this episode “Engaging in Data Science at the undergraduate level [at UC Berkeley] first wasn’t any particular person’s idea…they concluded that: instead of first creating a graduate program and having things filter down to the undergraduate level years later, we would start with a first year course for undergraduates and build from there!”In this episode, John DeNer
Data Science Graduates in Industry (feat. Amal Bhatnagar, Alex Nakagawa, and Claire Dominique Medina)
Access the full transcript for this episodeIn this special episode of the Data Science Education Podcast, we’ve featured three interviews from recent UC Berkeley Data Science graduates! All three of these graduates are currently applying their Data Science education in industry, and each has a unique perspective and story to share. Amal Bhatnagar (at the time of this interview) was working as a Da
Mathematics in Data Science Education (feat. Pamela Burdman)
Access the full transcript for this episode“We surveyed admissions officers around the country and we found that they’re much more familiar and comfortable with a Calculus course on a student’s transcript. Whereas with Data Science courses, they sometimes think it may not be as rigorous.”In this episode, Pamela Burdman, an independent policy analyst on college access, readiness, and the founder of
Cross-Disciplinary Data Science Education (feat. Hunter Glanz)
Access the full transcript for this episode“Years and Years ago […] at Cal Poly, Statistics and Computer Science were in the same college, but now [they’re in separate colleges] and it’s been that way for quite a long time, but it’s kind of funny that we used to have a lot more proximity to each other and now [...] we kind of come back around.”In this episode, Hunter Glanz, an associate professor
Easing Students into Data Science Curriculum (feat. Kathi Fisler)
Access the full transcript for this episode“So if we’re able to integrate the [computer science and data science] topics in one course, we let students experience both fields before they have to make a premature choice of which one they want to study in more depth […] But, I think it helps to put them side by side, so that students can appreciate what they both are and how they might use them.” In
Promoting 'Data Intuition' and Domain Knowledge in Data Science Education (feat. Brian Wright)
Access the full transcript for this episode“We’re lucky at UVA because we have this school of Data Science… it’s a freestanding school with its own dean. The nice thing about this is that it creates a ‘known identity’ for where Data Science sits on campus…”Welcome back to Season 3 of the Data Science Education Podcast! We’re happy you’re listening with us again, and we hope you look forward to thi
Data Science Education from the Lens of Communication (feat. Sara Stoudt)
Access the full transcript for this episode“What can you do with Data? What stories can you tell with Data? … Communication is not a soft skill in the derogatory sense, it is THE skill in some sense.”In this episode, Sara Stoudt, an Assistant Professor at Bucknell University and co-author of Communicating with Data, discusses the importance of communication in Data Science as an art and a creative
The Imperative for Data Science Education and application to Economics Education (feat. Steven Levitt)
Access the full transcript for this episode“If I was in charge, Data Science would be a requirement at the collegiate level, the high school level, the junior high level, and at the grade school level … Data is so centric to everything, I think we’re missing the boat by not having it integrated into everything.” In this episode, Steven Levitt, the William B. Ogden Distinguished Service Professor o
Supporting Data Science Students from Marginalized Communities (feat. Gloria Washington)
Access the full transcript for this episode“In designing Data Science curriculum, we should have a participatory design approach with individuals from several different communities that have been marginalized or disenfranchised by Data Science or AI techniques.”In this episode, Gloria Washington, an assistant professor at Howard University, shares her experiences structuring her Data Science-drive
The Importance of Data Science Course Staff (feat. Suraj Rampure)
Access the full transcript for this episode“[An] important thing to realize is that different schools in different places or at different levels have different student bodies, different needs and goals. So I think it’s important that people across the globe share their content so that people at different institutions that are looking to introduce Data Science have a good sense of the different way
Data Science Education for Community Colleges (feat. Katia Fuchs)
Access the full transcript for this episode“If you’re a Community College thinking about whether or not to do this [bring Data Science to your institution], just jump in! There’s people here that are trying to make it work, and I think we have some answers.” In this episode of the Data Science Education Podcast, Katia Fuchs discusses her experiences as the Chair of City College of San Francisco’s
Meaningful Outcomes of a Successful Data Science Education Program (feat. Rebecca Nugent)
Access the full transcript for this episodeIn this podcast episode, Rebecca Nugent, the Associate Head and Co-Director of Undergraduate Studies for the Carnegie Mellon Statistics & Data Science Department, discusses the importance of making Data Science education accessible. She speaks about her work at CMU and how she is studying how to teach Data Science and build entry points into the field for
Responding to the University Demand for Interactive Computing (feat. Jim Colliander)
Access the full transcript for this episodeWelcome back to Season 2 of The Data Science Education Podcast! We’re happy to be back, and hope you look forward to the return of biweekly episode releases here, and on our Spotify! In the seventh episode of our Podcast, Jim Colliander speaks on his experiences helping create projects like Syzygy, Callysto, and 2i2c. Through this conversation, he provide
The Data Science Education Podcast: Two - Month Hiatus
Access the full transcript for this episodeSeason 2 of The Data Science Education Podcast will begin in August! Thank you all so much for tuning in for Season 1. We hope you’ve enjoyed and are looking forward to releasing great new content in the Fall. This is a public episode. If you would like to discuss this with other subscribers or get access to bonus episodes, visit datascienceeducation.subs
Approaching Introductory Data Science Courses (feat. Nicholas Horton)
Access the full transcript for this episodeIn the sixth episode of the Data Science Education Podcast, Nicholas Horton discusses his experiences as a Professor at Amherst College, where an introductory Data Science course builds from existing Statistics and CS courses. Professor Horton also elaborates on the purpose of his new textbook and some important considerations when driving Data Science Ed
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