The course is aimed at data-savvy central bankers, regulators and supervisors in areas such as information technology, statistics, or research departments who are interested in implementing machine learning methods.

Fundamental knowledge of data analysis (including linear and logistic regression) and statistical software (including commands in R) is required.

The course is aimed at central bank staff interested in the exploration of the digital euro.

This course is aimed at central bank officials working in the area of financial stability. Participants should have a basic understanding of the surveillance and analysis of systemic risk and macroprudential policy. Input from participants on current developments in their home countries is appreciated. The course may also be of interest to staff working in other central bank areas related to financial stability, such as banking supervision, monetary policy or payment systems.