Big Data for Macroeconomic Statistics

Source details

Participants are expected to have a degree in economics, statistics, data science or equivalent experience.
Working knowledge of advanced programming languages such as Python and R is strongly recommended.

Technical staff and managers from national statistics offices and central banks involved in macroeconomic statistics, nowcasting, and data science projects.
Economists, statisticians, data scientists, and decision-makers overseeing related projects or teams.

Aim: Enable country officials from national statistics offices (NSOs) and central banks to acquire knowledge and skills to leverage Big Data and advanced technologies for generating high-frequency and detailed statistics to enhance macroeconomic monitoring and research in the region.
Delivery: Lectures and hands-on workshops delivered by data scientists of the IMF Big Data Center.
Focus areas:
- Big Data applications pertinent to macroeconomic statistics.
- Nowcasting and high-frequency indicators.
- Perspectives from both producers and users of statistics.
- Practical insights through participant use-case presentations and discussions.
Participant engagement:
- Opportunity to present and discuss institutional use cases.
- Interactive discussions and shared experiences to inform practice.

The training is intended for in-person attendance in Abu Dhabi during the specified week.
The workshop is delivered by IMF Big Data Center data scientists and targets officials seeking applied and technical capacity building in Big Data for macro statistics.