This course enables you to increase your impact on a personal and community level by deepening drives and training dialogues and silences, among other things.
The aim of the course 'Data Science with R and Rstudio' is to learn and experience working with the software through explanations and exercises which will extend in several relevant areas of working with R and Rstudio for statistics.
This course provides a general survey of the methods used to analyze panel data (i.e., data with units observed repeatedly over time). It places a special emphasis on causal inference, which is a primary goal of social sciences.
The course will introduce statistical models for network data and other data with complex dependence among observations. A range of models will be discussed theoretically, in application and using R.
This course focuses on the use of digital technologies for qualitative data collection, from a conceptual to applied perspective, including logistical, technical and ethical issues.
Radboud University
