Training: Data Carpentry for Social Scientists

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.

This course will cover the following topics:

Data organisation in spreadsheets; OpenRefine for data cleaning; Introduction to R; Data analysis and visualisation with R; Data management with SQL.

This course is aimed at graduate students and researchers. You don't need to have previous knowledge of the tools to be presented at the workshop in order to take part.

Course Schedule: 

12 February, 13:00 - 16:30

• Data Organization in Spreadsheets

• OpenRefine for Data Cleaning

19 February, 13:00 - 16:30

• Introduction to R

26 February, 13:00 - 16:30

• Continuation of R: Data Analysis & Visualization

4 March, 13:00 - 16:30

• Data Management with SQL

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. Participants must have a few specific software packages installed: click here for setup instructions. PLEASE COMPLETE SETUP IN ADVANCE OF EACH RELEVANT SESSION.

For full details of each session, visit the course webpage.