Training

Software packages for data analysis are often very expensive and have limited flexibility. R is one of the most powerful software packages for data analysis today, but often described as having a steep learning curve. This course, developed around various practical exercises, helps one overcome the initial difficulties by giving one the tools for carrying out both simple and more complicated data analysis and visualization tasks.
The training program is 8 – 32 academic hours. Upon successful completion of the course, the participants receive a diploma.

Current trainings

The practice of data analysis using R

Analysts
32 academic hours

Software packages for data analysis are often very expensive and have limited flexibility. R is one of the most powerful software packages for data analysis today, but often described as having a steep learning curve. This course, developed around various practical exercises, helps one overcome the initial difficulties by giving one the tools for carrying out both simple and more complicated data analysis and visualization tasks.
The training program is 8 – 32 academic hours. Upon successful completion of the course, the participants receive a diploma.

Introduction to data analysis

All interested
8 academic hours

Research reports and data are becoming more and more available and ubiquitous by the day. Data analysis and interpretation has gained more importance as a basic skill in various fields and occupations, even those in which those skills were not needed in the past. The ability to critically interpret data and research is useful for anyone. This introductory course on data analysis focuses on the main terms used in quantitative (and qualitative, if necessary) data analysis, that anyone could obtain. The course is also suitable as a preliminary to a more in-depth course of data analysis.
The training program is 8 academic hours. Upon successful completion of the course, the participants receive a diploma.

Introduction to impact evaluation and cost-benefit analysis

Policy makers and analysts
8 academic hours

Rigorous impact evaluation is the foundation for good policymaking: if we don’t know the impact of a policy on its desired objective (e.g. the effect of labour market policies on employment or the effect of environmentally friendly transport on pollution), it is very difficult to evaluate whether achieving the goal is possible or which way to achieve it is most effective. It is important to keep in mind that all impact evaluations entail uncertainty, sometimes to such an extent that the results are not usable in practice. It is crucial that this uncertainty is reflected in the analysis.