Data Carpentry with R for Social Sciences and Humanities

Together with Leiden University, TU Delft, and VU University we are organizing another edition of the Data Carpentry with R for Social Sciences & Humanities in March. See this workshop page for more information and registration.

This will again be a ‘real life’ edition that will take place during two full days at the TU Delft this time.

Why should you register?

Do you want to learn how to organise your data better and how to work more reproducibly? A Data Carpentry workshop aims to teach researchers basic concepts, skills, and tools for working with data so that they can get more done in less time, and with less pain.

This workshop teaches data management and analysis for social sciences and humanities research including best practices for data organisation in spreadsheets, reproducible data cleaning with OpenRefine, and data analysis and visualisation with R.

This is an introductory course, so learners don't need to have any previous knowledge of the tools that will be presented at the workshop.

It is possible to receive ECTS for the Erasmus Graduate School of Social Sciences and the Humanities (EGSH), see the course website there.

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:

• The room is wheelchair / scooter accessible.
• Accessible restrooms are available.

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 an accommodation for this workshop, please fill out the accommodation request form. If you have questions or need assistance with the accommodation 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.

Contact

Please email RDMtraining-lib@tudelft.nl for more information.