Dates
Below you will find selected dates concerning the Deutsche Bundesbank. If you have any questions regarding individual publications or events, please contact the Press Office of the Deutsche Bundesbank. Announcements and dates can be found under “Press”.
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Python for Data Science – A crash course
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.
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Current aspects of retail CBDC for the euro area Online Seminar Series
Economists and policymakers in central banks who would like to enhance their knowledge on climate change and the work done in central banks. Participants should have at least a basic knowledge of related monetary policy, financial stability or banking supervision topics.
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Lehren aus der Geldgeschichte – Am Beispiel der Stadt Koblenz Forum Bundesbank – Hauptverwaltung in Rheinland-Pfalz und dem Saarland
Referenten: Dr. Hendrik Mäkeler, und Dr. Ralf Fischer zu Cramburg
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Machine learning, artificial intelligence and big data – the perspective of central banks Expert panel
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.
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Monetary policy instruments and implementation
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.
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Human resources management In cooperation with the Oesterreichische Nationalbank (OeNB)
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.
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Introduction to machine learning
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.
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11th SAFE Asset Pricing Workshop
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Bargeld, Falschgeld und digitale Zahlungsmittel Lehrerfortbildung in Zusammenarbeit mit dem LPM Saarland
Referenten: Martin Condé
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Conference on Markets and Intermediaries Deutsche Bundesbank – Humboldt Universität