Data Carpentry for Social Sciences with Python
30 May 2022
2 Jun 2022
Data Carpentry workshops teach the fundamental data skills needed to conduct research. The target audience are researchers who have little to no prior computational experience. The workshops build 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. The workshop starts with a lesson on organizing data effectively in spreadsheets, followed by a lesson on data cleaning with OpenRefine. The largest part of the workshop consists of a lesson in Python, focusing on data import, exploratory data analysis, and visualization.
This workshop uses a tabular interview dataset from the SAFI Teaching Database and teaches data cleaning, management, analysis and visualization. We use a single dataset throughout the workshop to model the data management and analysis workflow that a researcher would use.
The workshop is based on the teaching style of the Carpentries, and learners will follow along while the instructors write the code on screen.
More information about the workshop can be found here.
You can register here for the workshop.