Source: ESCAP SIAP (Data extracted on: 21 Feb 2025 )
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Organizer(s): Paris21 ESCAP SIAP
Description: With the increased and evolving demand for data from national development plansAgenda 2030 for sustainable development goalsthe current and post crisis affecting the Worldincluding climate change; as well as the opportunity available with the new technology including the use of Artificial Intelligence (AI) for the modernisation and digital transformation of national data ecosystems; National statistical offices (NSOs) continue to be at the forefront of developingtransforming and coordinating national statistical systems (NSS) as well as engaging with the larger data ecosystem to fit for purpose.
Description: This course, presented by the Statistics Department, targets compilers with a certain degree of experience in the compilation and/or analysis of balance of payments and/or IIP. It aims to provide a deep understanding of the concepts, data sources and compilation techniques for balance of payments and IIP statistics and their application in addressing complex methodological issues. The course does not cover the basic balance of payments and IIP concepts. The intermediate level of the course presupposes participants’ familiarity with the basic concepts. The course will also elaborate on the topics being addressed during the current update of BPM6.The course consists of a series of lectures and workshops analyzing country cases with a strong data component and is designed to allow peer learning and sharing of experiences. Recognizing the challenges in compiling data in emerging areas of user interest, the course emphasizes specific topics, such as estimating informal cross-border activities and the treatment of special purpose entities. The course examines themes and challenges emerging from developments in the global economy, and participants have the opportunity to discuss how these impact compilation work. Specific exercises are geared to integrate data compilation with Fund surveillance and policy advice; and to demonstrate the analytical uses of ESS.
Target Audience: Officials responsible for the compilation of external sector statistics (ESS) (balance of payments and/or international investment position (IIP) statistics), and who are familiar with the methodology of the Balance of Payments and International Investment Position Statistics Manual, sixth edition (BPM6).
Description: The purpose of the 2025 Meeting of the RSG is to ensure the Regional Steering Group, as the custodian of the CRVS Decade, provides direction and guidance for the ongoing work on CRVS. The meeting further aims to strengthen regional collaboration and readiness for the Third Ministerial Conference, ensure the successful launch and completion of the 2024 Review. The series of the meetings was scheduled for 20 February, 12 March, 29 April and 22 May 2025On 29 April 2025, the meeting will involve delegations, side events, and exhibitions to ensure a comprehensive engagement strategy. The final session on Thursday 22 May 2025 will focus on credentials, speaking arrangements, and coordination of associated events to conclude preparations for the conference.
Description: The Economic Commission for Latin America And The Caribbean (ECLAC) and the United Nations Statistics Division (UNSD) are jointly organizing a regional workshop on International Statistical Classifications for countries in the Latin American and Caribbean region. The workshop will be held in Santiago, Chile, from May 20-22, 2025, with the aim to help participants acquire knowledge and skills to deepen their understanding of the principles and methodology of international classifications. For further information, please visit the workshop web page.
Description: Data collection is the primary and most important step for research or any survey. The most critical objective of data collection is ensuring that information-rich and quality data is collected for statistical analysis so that data-driven decisions can be made for research or survey. Data Collection can be done in three (3) ways, Paper Assisted Personal Interview, Computer Assisted Personal interview (CAPI) and Mixed model with integration of Geographical Information System (GIS) to collect survey data. Quality data allows individual researchers, institutions to establish baselines, benchmarks, and goals to keep moving forward. Data allows setting performance goals, therefore the quality of data in surveys is critical. The absence of quality data makes it difficult to make evidence-based policy and planning decisions, monitor trends and evaluate interventions. This training course on Data Collection provides solution in the production of quality data through integration of technologies in Data Collection.
Target Audience: People working in Ministries, Local Government Authorities and Agencies as Planners, Statisticians, Economist, and Monitoring and Evaluation Officers and the Academia.
Description: This is a comprehensive training course that covers application of statistics in Record Management. The course aims at equipping participants with skills and knowledge in data collection, data entry, management, analysis, interpretation and reporting.
Target Audience: This short course is so important for administrative officers, assistant record management officers, record management officers and implementers at all levels of record management.
Source: ESCAP SIAP (Data extracted on: 01 Apr 2025 )
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Organizer(s): UNSD ESCAP SIAP
Description: Climate change is one of the most pressing issues in the Asia-Pacific region. Yet emissions from fuel combustion in the region (and globally) continue to trend upwards due to increased demand for energy. In additionhouseholds and businesses are faced with frequent price shocks in many energy commodities. High qualityconsistent data on energy is critically needed to inform effective pathways for addressing issues around energy use and availabilityclimate change mitigation and just energy transitions. National statistical offices (NSOs) and ministries of energy of countries in the region have responded to these needs by compiling basic energy statisticsenergy balances and energy accounts. Howeverthere continues to be a need to strengthen the capacities of NSOs and ministries of energy to produce and disseminate energy information to better meet the needs of users for high quality integrated data on energy and its relationship to the broader economy and climate change.
Description: Massive digitization drive across public and private sectors has led organizations and their people to possess vast amounts of data, both qualitative and quantitative, often complex, unstructured, and varied. This huge data proliferation has also been accompanied with advances and rapid developments in data analytics by a corresponding surge in the creation of powerful tools. The exponential growth in both data and analytical capabilities, including artificial intelligence, is creating opportunities and challenges for managing knowledge. By integrating data analytics and knowledge management individuals and organizations can gain and share powerful insights, test strategies, improve transparency, increase value and improve the impact. If you have witnessed a knowledge gap in your organization and want to learn about developing strategies on leveraging data to bridge this gap this is the course for you. Alternatively, if you seek to build a culture in your organization that capitalizes on data-driven knowledge to develop impactful policies, programmes and projects and streamline work processes, this certification programme will guide you in doing so. Or, if you are interested in learning how data analytics can improve your own performance and, if you are curious about the latest trends and the future foresights towards data analytics and knowledge management, this course is the right place to be! Welcome to the certification course on "Data Analytics and Knowledge Management for Development".
Target Audience: Programme and project managers, knowledge management officers, monitoring and evaluation officers, technical specialists, project professionals, professionals from private enterprises, academicians and researchers involved in the identification, design, implementation and evaluation of development policies, programmes and projects.
Description: Data collection is the primary and most important step for research or any survey. The most critical objective of data collection is ensuring that information-rich and quality data is collected for statistical analysis so that data-driven decisions can be made for research or survey. Data Collection can be done in three (3) ways, Paper Assisted Personal Interview, Computer Assisted Personal interview (CAPI) and Mixed model with integration of Geographical Information System (GIS) to collect survey data. Quality data allows individual researchers, institutions to establish baselines, benchmarks, and goals to keep moving forward. Data allows setting performance goals, therefore the quality of data in surveys is critical. The absence of quality data makes it difficult to make evidence-based policy and planning decisions, monitor trends and evaluate interventions. This training course on Data Collection provides solution in the production of quality data through integration of technologies in Data Collection.
Target Audience: People working in Ministries, Local Government Authorities and Agencies as Planners, Statisticians, Economist, and Monitoring and Evaluation Officers and the Academia.
Description: This course, presented by the Statistics Department, focuses on both the conceptual framework of government finance statistics (GFS) as presented in the IMF’s Government Finance Statistics Manual 2014 (GFSM 2014) and on practical aspects of data compilation. Basic concepts and definitions, accounting principles, and detailed classifications are dealt with in the context of the GFSM 2014, which is harmonized with the System of National Accounts (SNA 2008). The course examines the GFS framework, as well as its coverage and accounting rules (including accrual accounting), classifications, balance sheets and debt, and the sources and methods used for compiling GFS. Lastly, the course discusses the dissemination of GFS and its uses in fiscal policymaking and analyses.
Target Audience: Officials whose main responsibility is compiling and disseminating fiscal statistics.
Description: This course, presented by the Statistics Department, introduces participants to the underlying concepts, definitions, and methodology for the compilation of Financial Soundness Indicators (FSIs) aligned with the 2019 Financial Soundness Indicators Compilation Guide (2019 FSI Guide) . FSIs were developed by the IMF in the late 1990s and currently, more than 150 countries compile and report FSIs to the IMF. These indicators are widely used by researchers, analysts, and policymakers around the world to monitor the soundness of the financial systems from a macroprudential perspective, as well as by IMF staff in financial stability analysis and surveillance. This course covers the history of the FSIs and their application in surveillance and macroprudential analysis, the conceptual framework for the FSIs, the data collection process for FSI compilation and its underlying aggregation and consolidation methodologies as well as the application of core and additional FSIs in macroprudential analysis.
Target Audience: Officials at central banks and supervisory agencies of the financial sector involved in the collection, compilation, and analysis of financial soundness indicators (FSIs).
Description: This course, presented by the Statistics Department, is intended to provide participants with a thorough understanding of the international standards for the compilation of EDS presented in the 2013 EDS: Guide for Compilers and Users (2013 EDS Guide). The course will cover basic concepts, definitions, and classifications, along with the principal accounting rules (including valuation and time of recording) that are relevant for compilation of the EDS. Finally, participants will be briefed on basic concepts of the debt sustainability analysis framework.
Target Audience: This course is for those interested in learning the fundamentals of compiling international accounts—specifically compilation of external debt statistics (EDS) and/or international investment position (IIP) statistics. It is a basic-level course laying the foundation for the advanced EDS course. It is open to those who compile, or plan to compile, EDS/IIP and to the general public.
Description: This online course, presented by the Statistics Department, introduces participants to key CPI concepts and methods. The course provides an overview of key CPI concepts, definitions, and uses. It provides an overview of different index number formulas and the practical implications of choosing the index number formula at lower and higher levels of aggregation. The course also discusses the sources and methods for sampling areas, items, outlets, and varieties; treatment of temporarily and permanently missing prices; and updating and linking CPI data series. Linkages to the 2008 SNA are highlighted, including the related principles of scope, coverage, and valuation. The course covers the following topics: defining key concepts and uses of CPI data and how these influence the design of a CPI; meeting data users’ needs to ensure relevancy; calculating elementary and upper-level indexes; methods for sampling areas, items, outlets, and varieties; methods for handling temporarily and permanently missing prices, including adjusting prices for quality changes; and chaining and linking indexes with updated weighting structures. The course follows the principles and recommendations of the CPI Manual (2020).
Target Audience: Compilers of consumer price indexes (CPIs) and users of CPI data interested in understanding key concepts and compilation issues.
Description: This course, presented by the Statistics Department, covers the fundamentals needed to compile the international accounts. The course introduces the conceptual statistical framework for balance of payments and IIP-as presented in the Balance of Payments and International Investment Position Statistics Manual, sixth edition (BPM6), which is harmonized with other macroeconomic statistical frameworks. You will learn about the current, capital, and financial account balances, and how they reflect your economy's interaction with the rest of the world. Basic concepts, definitions, and classifications are covered, along with the principal accounting rules (including valuation and time of recording) relevant for the compilation of the international accounts. The course also discusses the functional categories, including direct investment. The need to integrate of the balance of payments with the IIP for compiling comprehensive, internationally comparable statistics will also be discussed.
Target Audience: This course is for those interested in learning the fundamentals of compiling international accounts that cover balance of payments and international investment position (IIP) statistics according to the internationally accepted standards. It is a basic-level course laying the foundation for the intermediate balance of payments and IIP statistics course. It is open to those who compile, or plan to compile, balance of payments and IIP statistics and to the general public.
Description: This online course, presented by the Statistics Department, reviews the basic skills, concepts, and principles required to compile and disseminate macroeconomic and financial statistics. The course covers topics such as residence, institutional units, institutional sectors, accounting rules, financial instruments, stocks and flows, the IMF's Data Standards Initiatives, and presents the basic macroeconomic linkages among these statistics.
Target Audience: Officials who compile macroeconomic and financial statistics in national statistical organizations, ministries of finance, economy, or planning, or in central banks.
