May 14-15, 2026
9:00 - 17:00
Instructors: Sandra Binias, Aleksander Jankowski, Vanessa Linke
Helpers: Kacper Kaszuba, Linda Maina, Maciej Ołdak, Marcin Tymiński
The Carpentries project comprises the Software Carpentry, Data Carpentry, and Library Carpentry communities of Instructors, Trainers, Maintainers, helpers, and supporters who share a mission to teach foundational computational and data science skills to researchers.
Want to learn more and stay engaged with The Carpentries? Carpentries Clippings is The Carpentries' biweekly newsletter, where we share community news, community job postings, and more. Sign up to receive future editions and read our full archive: https://carpentries.org/newsletter/
Data Carpentry develops and teaches workshops on the fundamental data skills needed to conduct research. Its target audience is researchers who have little to no prior computational experience, and its lessons are domain specific, building on learners' existing knowledge to enable them to quickly apply skills learned to their own research. Participants will be encouraged to help one another and to apply what they have learned to their own research problems.
For more information on what we teach and why, please see our paper "Good Enough Practices for Scientific Computing".
Who: The course is aimed at graduate students and other researchers. You don't need to have any previous knowledge of the tools that will be presented at the workshop.
Where: Al. Jerozolimskie 160, 02-326 Warszawa, Poland. Get directions with OpenStreetMap or Google Maps.
When: May 14-15, 2026; 9:00 - 17:00 Add to your Google Calendar.
Requirements: Participants must bring a laptop with a Mac, Linux, or Windows operating system (not a tablet, Chromebook, etc.) that they have administrative privileges on. They should have a few specific software packages installed (listed below).
Accessibility: We are committed to making this workshop accessible to everybody. The workshop organizers have checked that:
Please get in touch (using contact details below) if you require any accommodations or if there is anything we can do to make this workshop more accessible to you.
Contact: Please email vlinke@iimcb.gov.pl for more information.
Roles: To learn more about the roles at the workshop (who will be doing what), refer to our Workshop FAQ.
The registration is open until April 26, 2026. Please use the registration form provided.
Everyone who participates in Carpentries activities is required to conform to the Code of Conduct. This document also outlines how to report an incident if needed.
We will use this collaborative document for chatting, taking notes, and sharing URLs and bits of code.
Please be sure to complete these surveys before and after the workshop.
We will mostly follow the curriculum of the Data Carpentry lesson Data Analysis and Visualization in R for Ecologists.
| Pre-workshop survey | |
| 9:00 | Introduction to R and RStudio Data visualization with ggplot2: building a plot |
| 10:40 | Coffee break |
| 11:00 | Data visualization with ggplot2: changing aesthetics and scales, adding geoms |
| 12:40 | Lunch break (lunch not provided) |
| 13:40 | Data visualization with ggplot2: changing themes and labels, facetingProducing reports with knitr |
| 15:10 | Coffee break |
| 15:30 | Exploring and understanding data in R |
| 17:00 | End |
| 9:00 | Working with data using tidyverse: select(), filter() |
| 10:40 | Coffee break |
| 11:00 | Working with data using tidyverse: the pipe operator, mutate() |
| 12:40 | Lunch break (lunch not provided) |
| 13:40 | Working with data using tidyverse: split-apply-combine approach, reshaping by pivoting |
| 15:10 | Coffee break |
| 15:30 | Fundamentals of R programming: Functions explained, Control flow, Writing good software |
| 17:00 | End |
| Post-workshop survey |
To participate in a Data Carpentry workshop, you will need access to software as described below. In addition, you will need an up-to-date web browser.
Please install a recent version of R and RStudio, as well as a few required R packages. The setup instructions can be found at the overview site of the Data Analysis and Visualization in R for Ecologists lesson. If you encounter any problems, you can get help during the troubleshooting session before the workshop.
We maintain a list of common issues that occur during installation as a reference for instructors that may be useful on the Configuration Problems and Solutions wiki page.