Wednesday to Friday 22 - 24 May 2024
9:00 - 16:00 CEST
Instructors: Adela Sobotkova, Helle Strandgaard Jensen
Helpers: Stephan Smuts, Petra Hermankova
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.
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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: Building 1465, room 315, Jens Skous Vej 5, 8000 Aarhus. Get directions with OpenStreetMap or Google Maps.
When: Wednesday to Friday 22 - 24 May 2024. 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. For workshops at a physical location, 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 adela@cas.au.dk 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.
Please be sure to complete these surveys before and after the workshop.
| 9:15 - 9:45 | Introductions, pre-workshop survey |
| 9:45 - 10:30 | Regular Expressions |
| 10:30 - 10:45 | Coffee break |
| 10:45 - 12:30 | Practising Regular Expressions |
| 12:30 - 13:00 | Lunch |
| 13:00 - 14:00 | Data Organization in Spreadsheets |
| 14:00 - 14:15 | Coffee break |
| 14:15 - 15:00 | OpenRefine for Data Cleaning |
| 15:00 - 16:00 | Streamlining real data: Aarhus Occupations 1801 |
| 9:15 - 10:30 | Introduction to R |
| 10:30 - 10:45 | Coffee break |
| 10:45 - 12:30 | Starting with data |
| 12:30 - 13:00 | Lunch |
| 13:00 - 14:00 | Data wrangling in tidyverse |
| 14:00 - 14:15 | Coffee break |
| 14:15 - 16:00 | Continue to Wrangle and visualise data with ggplot |
| 9:15 - 10:00 | Introduction to different types of analysis for the following group work: |
| 10:00 - 12:30 | Text mining with tidytext in R |
| 10:00 - 12:30 | Sentiment Analysis in R |
| 10:00 - 12:30 | Interactive maps in R |
| 10:00 - 12:30 | Learn about Webscraping |
| 10:00 - 16:00 | Own project elaboration |
| 12:30 - 13:00 | Lunch |
| 13:00 - 14:00 | Introduction to APIs |
| 14:00 - 15:50 | From API to OpenRefine |
| 14:00 - 15:50 | Own project elaboration |
| 15:50 - 16:00 | Class wrap-up and post-workshop evaluation |
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.
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.
The setup instructions for the Data Carpentry Social Sciences workshops (with R) can be found at the workshop overview site.