Data visualisation, web scraping and text analysis in R
ECTS: 2.5
Number of sessions: 4
Hours per session: 4
This course introduces issues of collecting, preparing, analysing, and visualising ‘big data'. Participants will be familiarised with how to write, debug, and keep track of their own code using R, a popular programming language for data manipulation, analysis, and visualisation.
More information
Digital research methods for textual data
ECTS: 2.5
Number of sessions: 2
Hours of session: 3
This course introduces a set of digital research methods (DRM). With these innovative methods, it is possible to analyse large textual datasets from social media, news articles, interviews, and other sources. In virtually all disciplines in the social sciences and humanities, these techniques are becoming increasingly more popular.
Large-scale register data for quantitative social research
ECTS: 2.5
Number of sessions: 4
Hours per session: 4
Administrative government registers at Statistics Netherlands (CBS) contain a wide range of large-scale socio-demographic statistics about the Dutch population, including data with regard to place and date of birth, gender, address and citizenship status. This course offers an introduction to using such register data for social research with the emphasis on practical applications.