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Upcoming, ongoing and recent courses:
> Ongoing and Future Facilitated Courses
- Processing food consumption data from household consumption and expenditure surveys (starting 31 August; enrollment closed)
- The International Recommendations on Refugee, IDP and Statelessness Statistics (starting 17 August; enrollment closed)
- Advanced Data Visualization for Official Statistics and SDG Indicators (Closed!)
> Recent Self Paced Courses
- Les recommandations internationales relatives aux statistiques sur les réfugiés, les personnes déplacées à l'intérieur de leur propre pays (PDI) et l'apatridie (Self Paced)
- Las Recomendaciones Internacionales sobre Estadísticas de los Refugiados, las PDI y la Apatridia (Self Paced)
- Crime Statistics from a Gender Perspective 3.0 (Self Paced)
- Disability Statistics for Tracking Inclusive Sustainable Development (Self Paced) (see the course outline)
- The International Recommendations on Refugee, IDP and Statelessness Statistics (Self Paced) (see the course outline)
- 2022 Health Statistics for Monitoring the Sustainable Development Goals-Self Paced- Self-paced course (see the course outline)
- Using gender data for analysis, communications and policy making in the context of SDG monitoring and beyond- Self-paced course (see the flyer)
- Principles of Data Visualization for Official Statistics and SDG Indicators- Self-paced course (see the flyer)
- Principles of Machine Learning for Official Statistics and SDGs Self-paced course (see the flyer)
- Principles of Reproducible Analytical Pipelines Self-paced course (see the flyer)
Available courses
This course introduces the guidelines on how to prepare food consumption data from HCES for “all uses” including for the compilation of information on poverty, economy and food security. The Guidelines were developed under the aegis of the United Nations Committee of Experts in Food Security, Agricultural and Rural Statistics (UN-CEAG) and were endorsed by the United Nations Statistical Commission at its 55th conference. The course provides countries with information on how to process food data from HCES.
[31 August to 9 October 2026]
This course introduces the “International Recommendations on Refugee Statistics” (IRRS), the “International Recommendations on IDP Statistics” (IRIS) and the "International Recommendations on Statelessness Statistics", which were were endorsed by the United Nations Statistical Commission in 2018 (IRRS), 2020 (IRIS) and 2023 (IROSS) respectively. This course is available in 3 languages: English, French and Spanish.
New!
This self-paced course offers participants an opportunity to explore gender concepts and frameworks on SDG indicators relevant to crime and criminal justice statistics including gender-based SDG targets, with the overall aim of strengthening regional capacity in producing high-quality SDG indicator data and overall statistics, to inform policy decisions at national and international levels.
Link to the course overview
This course offers participants an opportunity to explore gender concepts and frameworks on SDG indicators relevant to crime and criminal justice statistics including gender-based SDG targets, with the overall aim of strengthening regional capacity in producing high-quality SDG indicator data and overall statistics, to inform policy decisions at national and international levels.
Link to the course overview
This e-learning course is expected to help address the existing data gaps, and in part, respond to the urgent call for accelerated action to “close[sic] disability data gaps and strengthening progress-tracking of disability-inclusive development, building on synergies with monitoring the Sustainable Development Goal progress” articulated in the Jakarta Declaration. It encompasses basic concepts, methodologies and frameworks required to close the disability data gap.
This e-Learning course seeks to address capacity gaps in health statistics by providing a general understanding of the basic concept, methods and framework required to compile and monitor the health and health-related SDG indicators.
This e-Learning course seeks to address capacity gaps in health statistics by providing a general understanding of the basic concept, methods and framework required to compile and monitor the health and health-related SDG indicators.
