## Big Data for Macroeconomic Statistics

## Source details

**Canonical URL:** [Big Data for Macroeconomic Statistics](https://www.imf.org/en/capacity-development/training/icdtc/schedule/ce/2026/bdmsce26-46)

## Other formats

- [Markdown version](/en/capacity-development/training/icdtc/schedule/ce/2026/bdmsce26-46/index.md)
- [Structured JSON version](/en/capacity-development/training/icdtc/schedule/ce/2026/bdmsce26-46/index.json)
- [Bundle manifest](/en/capacity-development/training/icdtc/schedule/ce/2026/bdmsce26-46/bundle-manifest.json)

## Bibliographic details
- Session: CE 26.46
- Location: Abu Dhabi, United Arab Emirates New location
- Dates: December 14-17, 2026 (1 week)
- Delivery method: In-person Training
- Primary language: English
- Interpretation language: Arabic
- Status: Apply online by November 6, 2026 Deadline extended

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### Qualifications and prerequisites
- 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.

### Target audience
- 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.

### Course content and objectives
- 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.

### Application and participation notes
- 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.

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## References

- [In-person Training](https://www.imf.org/en/capacity-development/training/icdtc/delivery-methods)
- [Apply Now](https://www-ins.imf.org/TAS/signon.aspx?pkey=CE26.46E)
- [Integrating Basel III Liquidity Standards with ILAAP A Framework for Effective Liquidity Risk Management](https://www.imf.org/en/capacity-development/training/icdtc/schedule/ce/2026/ce26-31)
- [Big Data for Macroeconomic Statistics (BDMS)](https://www.imf.org/en/capacity-development/training/icdtc/schedule/at/2026/bdmsat26-27)
- [Financial Development and Financial Inclusion (FDFI)](https://www.imf.org/en/capacity-development/training/icdtc/schedule/at/2026/fdfiat26-24)

_Source: https://www.imf.org/en/capacity-development/training/icdtc/schedule/ce/2026/bdmsce26-46_