26–29 April 2021
10am–3pm
Instructors: Alan O'Callaghan, Francesca Baseby, Mario Antonioletti, Mike Spencer
Helpers: Isabella Deutsch, Marco Crotti, Eva Moussong, Sofia Bariami, Georgina Pegu, Peter Smyth, Andrzej Romaniuk, Lucie Woellenstein, Donncha Dunican, Shashank Shekhar Harivyasi, Phil Reed, Chris Wood, Robert Nagy
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.
When: 26–29 April 2021. 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:
Materials will be provided in advance of the workshop and large-print handouts are available if needed by notifying the organizers in advance. If we can help making learning easier for you (e.g. sign-language interpreters, lactation facilities) please get in touch (using contact details below) and we will attempt to provide them.
Contact: Please email bailey.harrington@igmm.ed.ac.uk for more information.
Roles: To learn more about the roles at the workshop (who will be doing what), refer to our Workshop FAQ.
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.
| Before starting | Pre-workshop survey |
| Morning | Data Analysis in R |
| Morning | Continuation of Data Analysis in R |
| Morning | Working with Data: Regular Expressions |
| Morning | Data Management with SQL |
| Follow-up | Post-workshop survey |
The directions for installing and setting up the required software can be found by following this link.