Welcome!


Data Science for Environmental Health (DaSEH) is a short course that combines online learning and an in-person project-focused intensive. DaSEH is tailored for beginners and novices in R programming, offering instruction on importing, wrangling, visualizing, and analyzing data. It provides hands-on training in using R for statistical computing, a widely-used open-source tool for data analysis and visualization.

This training initiative is funded by National Institute of Environmental Health Sciences 1R25ES035590-01.


DaSEH participants in person in a classroom learning about reproducibility.


Online course


June 8 - June 18, 2026
10:30am - 2pm Pacific Time

Two-week online course in R programming foundations.


Codeathon


June 29 - July 1, 2026
9:30am - 4pm Pacific Time

Three-day in-person intensive “Codeathon”. Here, we’ll work on authentic environmental health projects. We’ll also practice data ethics skills in peer code review, reproducibility, and transparency in a supportive environment.


Testimonials from our other courses:


“Thanks all for a wonderful course! I feel super confident in R now and I am excited to apply what we learned to future projects. Cheers !!”

“I feel like a data witch now! I just say poof and the data looks the way I want”

“OK - this is getting to be too much fun now”

“My 14 year old thinks this class looks cool and wants to take it (she’s a wanna be engineer)”




This page was last updated on 2026-01-14.

Creative Commons License


This work is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License.

DaSEH is funded by the National Institute of Environmental Health Sciences 1R25ES035590-01.