The Data Science Education Podcast

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Season 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.

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In 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 Education forward.

Nicholas J. Horton is Beitzel Professor of Technology and Society (Statistics and Data Science) at Amherst College. He is a biostatistician and data scientist focused on helping students "think with data" during the entire data analysis cycle.

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In the fifth episode of the Data Science Education Podcast, Mine Dogucu discusses her experiences as an Assistant Professor at UC Irvine, where an introductory Data Science course was recently started. Dr. Dogucu also elaborates on her unique perspective on increasing accessibility to the field of Data Science, specifically through High School outreach and curriculum development.

Mine Dogucu is an Assistant Professor of Teaching in the Department of Statistics at University of California Irvine. Her work focuses on modern pedagogical approaches in the statistics curriculum, making data science education accessible, and undergraduate Bayesian education. She is the co-author of the upcoming book Bayes Rules! An Introduction to Bayesian Modeling with R. She co-chairs the Undergraduate Statistics Project Competition and the Electronic Undergraduate Statistics Research Conference (USPROC+eUSR). She shares her thoughts about data science education on her Data Pedagogy blog.

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In the fourth episode of the Data Science Education Podcast, Rajesh Gupta discusses his role in instituting and maintaining a Data Science Education institution at UC San Diego. Dr. Gupta also elaborates on his unique perspective on scaling curriculum to large student populations and highlights his efforts to adapt to Data Science students’ needs. Listen in as we discuss the importance of developing an inclusive and manageable Data Science program at an institution.

Rajesh Gupta serves as a founding director of the Halıcıoğlu Data Science Institute and as a distinguished professor of Computer Science and Engineering at UC San Diego. Professor Gupta's research is in embedded and cyber-physical systems with a focus on sensor data organization and its use in optimization and analytics.

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In the third episode of the Data Science Education Podcast, Debbie Yuster discusses her experiences adapting to the recent surge in interest towards Data Science Education. Dr. Yuster also elaborates on her unique perspective on teaching Data Ethics courses and provides valuable insight into effective ways to streamline Data Science programs at different institutions.

Dr. Debbie Yuster is an Assistant Professor of Data Science and Mathematics at Ramapo College of New Jersey, which recently launched undergraduate and masters programs in Data Science. She received a Ph.D. in Mathematics from Columbia, and a B.A. in Mathematics (with Computer Science concentration) from Cornell.

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In the second episode of the Data Science Education Podcast, Chris Holdgraf discusses his experiences working with 2i2c and Project Jupyter. Dr. Holdgraf also elaborates on his unique perspective on the future of Data Science education and provides valuable insight into how to utilize proper infrastructure in a Data Science Program.

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In the first episode of the Data Science Education Podcast, Byron Chu discusses his experiences working with Cybera and Callysto. Dr. Chu elaborates on his unique perspective on the future of Data Science education and provides valuable insight into bringing Data Science to the 5-12th grade levels.

Tune in to hear a rich discussion about how we could be driving Data Science education towards younger audiences.