Upcoming e-Learning Courses 2024

This e-learning course aims to build capacity in national statistical systems for the development and implementation of Reproducible Analytical Pipelines (RAPs) for Official Statistics. What is a Reproducible Analytical Pipeline? Simply put, reproducible analytical pipelines (RAPs) are automated statistical processes (data processing and analysis) that codify to the greatest extent possible the production of official statistics. Common tools that are used to develop RAP include software such as R or Python, and version control management tools such as Git. Reproducibility is at the heart of the approach. It implies that the outputs can be generated again with any new or revised input datasets using the RAP developed. This also implies drafting documents explaining the RAP that make it possible to build institutional knowledge and use the RAP in the future by new staff.   Why are Reproducible Analytical Pipelines  important for Official Statistics? All national statistical systems are engaged in the regular, high frequency production of many official statistics. For example, most countries compile monthly consumer price index (CPI). The input data for the compilation of CPI is generally the same from month to month. By developing and implementing an RAP for the compilation of CPI, countries can improve the timeliness and quality of the CPI since automation reduces the time required to clean and analyze the data; it also reduces the chance of errors that could occur when relying on non-automated processes.  

Please click here to register for this course. Further information about the course will be provided to registered participants at the end of March.

The numbers of refugees and internally displaced persons (IDPs) have increased rapidly in recent years, with UNHCR estimating over 108.4 million forcibly displaced persons in 2022. Similarly, the issue of statelessness continues to persist in society, with 4.4 million people currently estimated to be stateless. This course introduces the “International Recommendations on Refugee Statistics” (IRRS), the “International Recommendations on IDP Statistics” (IRIS) and the “International Recommendations on Statelessness Statistics” (IROSS). These sets of recommendations were endorsed by the United Nations Statistical Commission in 2018 (IRRS), 2020 (IRIS) and 2023 (IROSS), respectively. The course is spread over six substantive modules and provides details on the statistical framework for compiling refugee, IDP and stateless persons statistics. It introduces concepts, definitions, classifications and methodologies relevant to collecting, compiling, analyzing and disseminating data and indicators on refugees, IDPs and stateless persons, 2 including Sustainable Development Goal (SDG) indicators. The course also includes information on data sources, institutional mechanisms, and coordination.  Please click here to register for this course. Further information about the course will be provided to registered participants at the end of March.