Graduate level, 7.5 hp (ECTS)
To carry out a research project, raw datasets need to be selected and manipulated to create variables that are appropriate to the research question, and the data needs to be formatted in the way that is required for the statistical analysis to be used. The aim of this course is to provide students with advanced knowledge on the use and management of micro-level demographic data. The course will be primarily hands-on and different types of datasets will be employed. The appropriate selection of datasets and variables to answer a research question will be discussed, as well as issues of data quality, data cleaning and the handling of missing data. During each meeting, the necessary steps to create different types of variables will be shown. The course is designed as a tutorial where the student attends meetings and conducts independent work, which will be discussed with the instructor and other students in the group.