Available courses

Principles of Machine Learning for Official Statistics and SDGs

Principles of Machine Learning for Official Statistics and SDGs

The course aims at providing an overview of the current methods and applications of Machine Learning, through theoretical concepts, pedagogical case studies and interactive resources. The course is not based on, nor does it require, a particular software. However reproducible examples are provided using the R/RStudio environment and Python.

See the flyer and the concept note


Principles of Data Visualization for Official Statistics and SDG Indicators

Principles of Data Visualization for Official Statistics and SDG Indicators

This course introduces data visualization as a tool to produce high-quality graphics for monitoring official statistics and the Sustainable Development Goals (SDGs) indicators.

The course is not based, nor does it focus, on any software. However, some popular software will be introduced and used in the course (Excel, QGIS, R/Rstudio, R Shiny, Google Sheets) as well as references to online tools. 

See the flyer and the concept note

The International Recommendations on Refugee, IDP and Statelessness Statistics (Self Paced)

The International Recommendations on Refugee, IDP and Statelessness Statistics (Self Paced)


This self-paced 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.

Click here to view the concept note 


The International Recommendations on Refugee, IDP and Statelessness Statistics

The International Recommendations on Refugee, IDP and Statelessness Statistics


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.

Click here to view the concept note 


Subregional Training on Monitoring Financial Protection in Health

Subregional Training on Monitoring Financial Protection in Health

The Subregional Training on Monitoring Financial Protection in Health aims to strengthen the capacity of Pacific Island Countries and Territories (PICs) to produce and analyze key indicators of financial protection and support analytical work on monitoring financial protection, including SDG 3.8.2 and related indicators, using household survey data.

Link to the concept note

Introduction to International Recommendations on Refugee and IDP Statistics - self paced

Introduction to International Recommendations on Refugee and IDP Statistics - self paced


This course introduces the “International Recommendations on Refugee Statistics” (IRRS) and the “International Recommendations on IDP Statistics” (IRIS). These sets of recommendations were endorsed by the United Nations Statistical Commission in 2018 (IRRS) and 2020 (IRIS).

Link to the course outline