UNIVERSITY PARK, Pa. — The Data Science Community is hosting two upcoming “deep dive” training sessions for the Penn State community focused on different aspects of data science. The idea behind these Deep Dive Discussions is to offer a thorough investigation of a particular concept or methodology relevant to the Data Science Community to familiarize and empower community members with the topic at hand. The sessions, scheduled to take place online on April 15 and May 13, are both open to the Penn State community and will require advance registration.
“These Deep Dive Discussions are going to be a great way for Data Science Community members to discuss common topics of interest and gain key skills relevant to data science,” said Briana Ezray Wham, faculty lead for the Data Science Community, STEM Research Data Librarian, and the Eric N. and Bonnie S. Prystowsky Early Career Science Libraries Professor in the University Libraries.
The first discussion, “Baking a Cake: A seminar and workshop on Data Storytelling,” will take place from 2 to 4 p.m. on Friday, April 15. Alex Serpi, assessment and research analyst, Office Of Planning, Assessment, and Institutional Research, will lead the session that uses an analogy of baking a cake — cooking raw ingredients rather than eating them — to help data scientists understand how data can be used for storytelling. Attendees can register via zoom for this seminar and workshop.
The second workshop, “Practices to Support Open Science & Research Reproducibility,” will take place from noon to 2 p.m. on Friday, May 13. Nicole Lazar, professor of statistics at Penn State, will lead the session alongside collaborator Kyle Johnsen, professor of electrical and computer engineering at the University of Georgia. The talk and workshop will focus on open science and how to approach data science in ways that make it reproducible by other scientists, which is a key tenet of the scientific process. Attendees can register via zoom for this seminar and workshop.
The Data Science Community is a grassroots initiative supported by Penn State's Teaching and Learning with Technology, Institute for Computational and Data Sciences and University Libraries. To learn more about Data Science Community events or to join the community mailing list, visit https://datascience.psu.edu.