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.
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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.