The Statistical Leadership Training program intends to unlock the participants’ potential to be effective in leadership roles and processes. At the end of the training, participants are expected to explain and model their learning to others in their organizations. Participants will be able to disseminate what they’ve learned by taking active roles in leadership and also develop creativity through the activities and tools provided in the training.
The main objective of the Course is to better equip and situate national and international stakeholders in the new SDGs statistical monitoring system. It is designed to enhance institutional capacity to identify, collect, analyse and disseminate labour market information and indicators related to decent work. It emphasizes the importance of processing Labour Force Surveys (LFS) microdata to produce and disseminate SDG indicators.
This course introduces fundamental knowledge on fisheries and aquaculture statistics. This course will help you understand how to compile and monitor SDG indicators from fisheries and aquaculture statistics
The workshop will provide an opportunity to participants to learn basic concepts and frameworks for the quality of statistics through hands-on sessions, with the overall aim of enhancing the capacity to produce a set of statistics including indicators, to track and monitor Sustainable Development Goals (SDGs).
This course introduces fundamental knowledge on official statistics. This course will help you understand how to compile and monitor Sustainable Development Goal (SDG) indicators from official statistics.
This training course is aimed at strengthening the technical capacity of statistical producers to incorporate new data sources, including Big Data, into their statistical production processes. This will enhance the capacity to provide of high-quality, timely and reliable data to produce the relevant SDG indicators and other statistics. This training aims at sharing experience and building the skills required for the production and dissemination of official statistics with new data sources.
This course was jointly organised by the Institute and the Japan International Cooperation Agency of the Government of Japan. It is designed to strengthen the innovative capabilities of national statistical systems to explore new data sources such as geo-spatial information, big data, and alternative administrative data, and apply alternative/non-traditional methods for SDG statistics. The program will also develop ability to use the non-traditional supplementary data for disaggregation of SDG statistics.
The regional workshop aims to raise awareness and build technical capacity of national experts in Asia and the Pacific region in terms of the importance and use of sex-disaggregated statistics in agriculture, and for compilation, use and reporting of SDG indicators 5.a.1 and 5.a.2. Further details on the course are in the attached Concept Note.