July 31-August 12, 2026
9:00am - 1:00pm CEST
Instructors: Jonathan Lanz, Stephan Smuts, Adéla Sobotkova
Helpers: Line Keller Nørbøge Ottosen
The Carpentries project comprises the Data Carpentry, High Performance Computing Carpentry, Library Carpentry, and Software Carpentry communities of Instructors, Trainers, Maintainers, helpers, and supporters who share a mission to teach foundational computational and data science skills to researchers.
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".
Everyone who participates in Carpentries activities is required to conform to the Code of Conduct, which also outlines how to report an incident if needed.
July 31-August 12, 2026; 9:00am - 1:00pm CEST Add to your Google Calendar.
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).
We are committed to making this workshop accessible to everybody.
The workshop organizers have checked that:
We are dedicated to providing a positive and accessible learning environment for all. We do not require participants to provide documentation of disabilities or disclose any unnecessary personal information. However, we do want to help create an inclusive, accessible experience for all participants. We encourage you to share any information that would be helpful to make your Carpentries experience accessible. To request accessibility support for this workshop, please fill out the accessibility support request form. If you have questions or need assistance with the accessibility support form please email us.
Glosario is a multilingual glossary for computing and data science terms. The glossary helps learners attend workshops and use our lessons to make sense of computational and programming jargon written in English by offering it in their native language. Translating data science terms also provides a teaching tool for Carpentries Instructors to reduce barriers for their learners.
Carpentries workshops are designed to be interactive rather than lecture-based, with lessons that build upon one another. To foster a positive online learning environment, we strongly recommend that participants join in real time. As a result, workshop recordings are not recommended and may not be available to learners.
Please email jlanz@cas.au.dk for more information.
For answers to frequently asked questions about workshops, refer to the Carpentries Workshop FAQ.
Please fill out this survey before attending the workshop.
Fill Out the Pre-Workshop SurveyPlease fill out this survey before you leave the workshop.
Fill Out the Post-Workshop Survey| Before starting | Pre-workshop survey |
| Part 1 | Data Organization in Spreadsheets |
| Part 2 | OpenRefine for Social Science Data |
| Part 1 | Starting with R and RStudio |
| Part 2 | Introduction to R |
| Part 1 | Starting with Data |
| Part 2 | Data Wrangling with dplyr |
| Part 1 | Data Visualization with ggplot2 |
| Part 1 | Mapping with Leaflet |
| Part 1 | From the Slippy Map to the Data Underneath: Historical Cartography with tmaps and sf Library |
| Part 1 | Advancing Your Spatial Skills in R |