The course is aimed at economists and statisticians from central banks who are interested in seasonal adjustment and, in particular, in the application of JDemetra+. Prior knowledge and/or experience of time series analysis in general and seasonal adjustment in particular are welcome but are not a prerequisite for participation.

Staff from HR units of central banks. Participants should have good knowledge of the systems and procedures used in their respective institution to manage HR issues and are expected to take an active part in discussions, drawing on their own experience.

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

Junior to mid-level central bank officials working in monetary policy operations and officials from central banks or ministries of finance/economics whose responsibilities require a thorough understanding of monetary policy implementation, or where there is a strong interest in acquiring such knowledge.

The expert panel is aimed at central bankers as well as regulators and supervisors with an interest in helping develop best practices in big data mining and management. Participants will be expected to make an active contribution to the discussions and will be invited to present and discuss current issues in machine learning, artificial intelligence and big data in their own jurisdiction.

The expert panel is aimed at experienced experts from the anti-counterfeiting unit of central banks who need a detailed understanding of techniques for succeeding in the fight against forged money. Participants are expected to make an active contribution to the discussions and will be invited to present and discuss their own topics or cases.

The course is designed for staff working in information technology, statistics or research departments in central banks and regulatory and supervisory authorities with an interest in applying machine learning methods with Python. It is not aimed at those who already have extensive and advanced knowledge of Python.

This online course is aimed at experienced experts or executives from cash departments wishing to expand their knowledge. There will be the opportunity to learn more about building a project team for a revamping programme, particularly a cash centre, with emphasis on planning and decision-making.

Junior to mid-level central bank officials working in the communication department or economics/monetary policy department, especially in central banks under or moving towards an inflation targeting regime, and officials from central banks whose responsibilities require, or who have a strong interest in acquiring, a thorough understanding of central bank communication.

The course is designed for mid-level and senior employees of central banks. A solid background in payment clearing and settlement issues is essential for constructive and productive participation in the course. Participants should be familiar with the payment system policy and practices applied in their home country. Additionally, they will be invited to take an active part in the discussions and case studies, covering topics like T2S, oversight and innovations.