Data Carpentry for Social Sciences

Course description

A Data Carpentry workshop aims to teach researchers basic concepts, skills and tools for working with data to get research done more efficiently and reproducibly.

The Data Carpentry for Social Sciences is a hands-on, two-days training that covers best practices for data organisation in spreadsheets, reproducible data cleaning, and gives an introduction to data analysis and visualisation using the programming language R.

You will be learning best practices and exploring tools that are the building blocks for creating reproducible and efficient workflows that make your data re-usable.

The trainings are,10 and 11 February 2025 at 09:00 - 17:00 hrs each day; Location: Digital Lab (room 0.09), Humanities Hub, Johan Huizinga building (Doelensteeg 16, 2311 VL Leiden). 

Target Audience

This workshop is useful for all PhD candidates and researchers with little to no prior computational experience who are working with tabular data.

The tabular dataset used for practice during the course comes from the social sciences field (that is, survey data in a tabular form).

Prerequisites

This workshop is useful for all PhD candidates and researchers with little to no prior computational experience who are working with tabular data. This is a basic/introductory course.

You will need to allocate approximately 2  hours of preparatory work before the first class of the workshop in order to:

• fill in a pre-workshop survey to help the instructor to get an overview of the learners previous experience with programming and adjust content and pace accordingly (you will receive an email with the link to the survey).
• install the software and download the datasets that you will use during the workshop