Led by Dr Diarmuid McDonnell
There is an unprecedented amount of information on the internet that could usefully be harvested in order to build social science research datasets.
This two-day course will showcase suitable techniques for collecting raw data from web pages, as well as from online databases (APIs).
The value, logic and process of capturing data stored on websites/online databases will be described in detail, and practical examples and exercises will be demonstrated using the Python programming language.
This course is most suited to empirical social science researchers but will be of value to researchers from a wide range of disciplines (e.g., digital humanities).
Register for Summer School here!