June 1-5, 2020
9:00 am - 13:00 pm
Instructors: Martin Dreyer, Angelique van Rensburg, Moses Okpeku, Oluwafisayo Kaka, Shaily Gandhi, Sourav Singh
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: online. Get directions with OpenStreetMap or Google Maps.
When: June 1-5, 2020. Add to your Google Calendar.
Requirements: Be a postgraduate student in the Humanities and Social Sciences. Participants must have access to 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. Since this is an online workshop, participants need to have access to internet (listed below).
Accessibility: We are committed to making this workshop accessible as far as possible. Please make sure that you have the following:
Materials will be provided in advance of the workshop and you will be able to ask the organisers for extra materials if needed in advance. If we can help making learning easier for you.
Contact: Please email angelique@carpentries.org for more information.
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.
09:00 | Pre-workshop survey |
09:30 | Data Organization in Spreadsheets |
11:00 | Data Cleaning with OpenRefine |
13:00 | END |
09:00 | Data Analysis and Visualisation with R |
13:00 | END |
09:00 | Data Analysis and Visualisation with R |
13:00 | END |
09:00 | Data Analysis and Visualisation with R |
13:00 | END |
09:00 | Data Analysis and Visualisation with R |
13:00 | Post-workshop survey |
13:15 | END |
To participate in a Data Carpentry workshop, you will need access to the software 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.