Delivery: Live and virtual

See how programming languages support transparent, repeatable research workflows. Designed primarily for doctoral students building their methods foundation

What to Expect

The session provides an introduction to the main languages of data analysis: Python, R, and SQL. Attendees will learn the similarities and differences between the languages, their respective strengths, and the types of tasks for which each is best suited. After introducing the languages, attendees will then get hands-on experience programming in each during an online lab session, in which participants apply the content from the lecture with organizationally relevant exercises. The session will close with a Q&A session and an opportunity to exchange ideas and insights between attendees.

Presenter

Dr. Ivan Hernandez, Virginia Tech

Dr. Ivan Hernandez is an Associate Professor and Area Head of Industrial-Organizational Psychology at Virginia Tech. He is currently an Associate Editor for the Journal of Applied Psychology and an editorial board member for Organizational Research Methods and Technology, Mind, and Behavior. His work has been published in leading research journals, including Industrial-Organizational Psychology: Perspectives on Science and Practice, Organizational Research Methods, Psychological Methods, Behavior Research Methods, Personnel Psychology, and the Journal of Applied Psychology. He served as team lead of the winning team in the 2023 SIOP Machine Learning Competition and co-organized the 2024, 2025, and 2026 SIOP Machine Learning Competitions.

Register for the tutorial series

One registration includes all four live tutorials, their released resources, and related program activities.