The Carpentries training program aims to improve data literacy and reproducible science. IMCI sponsors the University of Idaho as a member in the organization.

Four workshops will be offered this fall for upper-level undergraduate students, new graduate students and anyone else interested in good-practices in data management and analysis.

STUDENTS wishing to take the workshops for credit need to register via the UI course schedule for BCB 503 03, CRN 44931. U of I registration deadlines apply.

ALL PARTICIPANTS, regardless of academic credit, must register with IMCI to attend. Space is limited. A limited number of in person seats will be offered. An online option may also be available. IMCI registration will close one week prior to the workshop.

Carpentries: Data Visualization in R and Python (1 cr)

Instructors: James Van Leuven (I), Chava Castaneda (I)

October 19-31, T/Th, 2-5:30pm

Course Title: Data Carpentries: Data Visualization in R and Python

Course Description Data Carpentries aims to teach researchers basic concepts, skills, and tools for working with data so that they can get more done in less time, and with less pain. This hands-on workshop will cover the use of R and Python programming languages for visualizing complex data and making pretty figures. The course is aimed at graduate students and other researchers, but is open to all and is designed for learners that have no prior experience in programming. However, some experience in R or Python may be useful. Participants must bring a laptop with a Mac, Linux, or Windows operating system (not a tablet, Chromebook, etc.) that they have administrative privileges on. For more information see


October 19: Introductions, graphical theory, programming languages for plotting

October 24: R

October 26: R and Python

October 31: Python