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| Regional Training Course on the National Strategy for the Development of Statistics (NSDS) and Advanced Data Planning Tool (ADAPT) for Asia-Pacific The Partnership in Statistics for Development in the 21st Century (PARIS21) in collaboration with the Statistical Institute for Asia and the Pacific (SIAP) developed a unique training course for NSS, NSO leaders and national planning senior managers to improve strategic planning for data and statisticsdevelopment, using innovative tools and methods. The course will give a thorough introduction to the NSDS design process and introduces the data gaps assessment and planning using ADAPT. In addition, this course will feature special topics on gender statistics, climate change data as well as fragility and resilience of NSS in crisis context... here. |
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Compiling National Metadata for the Sustainable Development Goals in Russian language, 06 - 24 November 2023
The 2030 Agenda encourages member states to conduct regular and inclusive reviews of progress at the national and sub-national levels which are country-led and country-driven. This course focuses on building capacity in countries for reporting on the SDG indicators using national indicator frameworks. During the course participants will learn about key concepts around metadata, particularly related to the SDGs, learn how to fill the SDG metadata template and better understand the importance of metadata to help explain the data and potential differences...here. |
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Online training course on SDMX Tools starts on 15 November!
The Asian Development Bank (ADB), in partnership with United Nations Statistics Division (UNSD), United Nations Economic and Social Commission for Asia and the Pacific (ESCAP), and Statistical Institute for Asia and the Pacific (SIAP) are pleased to announce and invite you to participate to the online training course on Statistical Data and Metadata eXchange (SDMX) Tools. Following the SDMX Foundations Course, the SDMX Tools Course will cover two modules, first an overview of SDMX IT Tools used for common scenarios and use cases...here.
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| Training of Trainers on Quality of Statistics for Sustainable Development Goals (SDGs), 11 - 13 December 2023, Perak, Malaysia | Quality data are vital for enabling governments, international organizations, civil society, private sector and the general public to make informed decisions and to ensure the accountability of representative bodies. Effective planning, follow-up and review of the implementation of the 2030 Agenda for Sustainable Development requires the collection, processing, analysis and dissemination of an unprecedented amount of data and statistics at local, national, regional and global levels and by multiple stakeholders. |
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Webinars on Macroeconomic Statistics Framework
Macroeconomic accounts provide comprehensive and detailed records of the complex economic activities taking place within an economy, and of the interactions between different economic agents, and groups of agents, in markets or elsewhere. As such, harmonization and consistency of the accounting framework allow economic data to be compiled and presented in a format that supports economic analysis, and policy decision making. This webinar series will provide the participants with a clear understanding of the importance of macroeconomic statistics and its components to an economy, whilst focusing on the fundamentals of the macroeconomic and financial statistics....here.
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Training Workshop on Compiling Energy and Air Emission Accounts 5 - 15 February 2024 | Chiba, Japan |
The Statistics Department (STA) of the International Monetary Fund (IMF), is implementing the "Environment and Climate Change Statistics Capacity Development Program", supported by the State Economic Cooperation (SECO). The program is oriented towards assisting beneficiary countries in the development and dissemination of indicators most relevant to their policy needs. Accordingly, technical assistance will focus on developing one or two indicators that reflect the most urgent data needs of the targeted countries; and encompass the use of internationally agreed methodology or testing methodology underdevelopment. The program will build capacity in the project countries to compile select indicators through the organization of workshops, trainings, and targeted hands-on technical assistance.
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Machine Learning for Official Statistics and SDGs 27 November 2023- 19 January 2024
This 8-week course developed by SIAP in partnership with the Asian Development Bank (ADB) introduces machine learning as a tool for using either traditional (surveys, micro data, ...) or non-traditional (big data) data sources to produce high quality predictions for Official Statistics or Sustainable Development Goals (SDGs) indicators. It provides an opportunity for participants to explore and manipulate the techniques of Machine Learning and their links with traditional statistical methods. The 6 modules (+1 module with recalls/prerequisites) aim at providing an overview of the current methods and applications of Machine Learning, through simplified theoretical concepts, pedagogical case studies and interactive resources....here.
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SIAP E-learning System
SIAP offers a range of e-learning courses across the domains of social, environment and economic statistics; data science; and statistical principles and methodologies. These courses are facilitated and supported by an expert in the field to the participants through regular communication in discussion box and through webinar(s) during the period of course delivery. A certificate is issued to successful participants completing the course after passing the prescribed examination. |
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