SIAP Skip to main content Welcome to the United Nations ESCAP Web Site Contact Us Menu Global navi Top News & Events Events News Letter News e-Library SIAP e-Learning courses SIAP face to face courses Principles & Practices of Official Statistics for SDG Strategic and management issues Population and social statistics Economic statistics Agricultural and Rural Statistics Environment and Disaster statistics Methodology and statistical process Training of Trainers Seminars and Meetings SIAP LMS Training Our Programmes Principles & Practices of Official Statistics for SDG Strategic and management issues Population and social statistics Economic statistics Agricultural and Rural Statistics Environment and Disaster statistics Methodology and statistical process Training of Trainers Seminars and Meetings Training Network Programme of Work Training of Trainers Alumni Alumni Recognizing Achievements About SIAP Who We Are Where We Are SIAP Statute Contact Us Governing Council Strategic Plan 50th Year Anniversary of SIAP close Contact Us SIAP Home ESCAP Web Site Breadcrumb Home Events Data visualization << Online course >> 10 August to 11 September 2026 | online Advanced Data Visualization for Official Statistics and SDG Indicators This course is an advanced course in data visualization, conceived as an extension of SIAP’s facilitated course “Data Visualization for Official Statistics and SDG Indicators,” last conducted in 2024, or, alternatively, of the self-paced course “Principles of Data Visualization for Official Statistics and SDG Indicators,” available on SIAP’s e-learning platform. 08 to 10 October 2025 | Kazakhstan Regional Workshop on Data Visualization for the Countries of Central Asia 03 to 12 June 2025 | online R for Official Statistics: A Crash Course The three-day crash course aims to equip participants with essential skills in R and RStudio, focusing on practical applications for data analysis for Official Statistics and SDG indicators. It is designed on an interactive platform to enhance a quick start in R, providing participants with practical skills to use a programming language for managing and analyzing data. 11 November to 27 December 2024 | Online 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, reporting and publishing official statistics and Sustainable Development Goals (SDGs) indicators. 03 to 28 July 2023 | Advanced Data Visualization for Official Statistics and SDG Indicators This course is an advanced course in data visualization, conceived as an extension to SIAP’s facilitated course “Data Visualization for Official Statistics and SDG Indicators” conducted in 2021 and 2022 or, alternatively, to the self-paced course “Principles of Data Visualization for Official Statistics and SDG Indicators” available on SIAP’s e-learning platform. This new course focuses on methods to produce high-quality graphics for monitoring and publishing official statistics and the Sustainable Development Goals (SDGs) indicators. 24 January to 04 March 2022 | e-Learning Course on Principles of Data Visualization for Official Statistics and SDG Indicators- 2022 The course provides an opportunity for participants to explore and comprehend the techniques of data visualization for data exploration as well as for data presentation. Participants will discover, evaluate and apply the rules of data visualization on devoted cases studies and also tackle the problem of visualizing complex data. The course proposes strategies for visualizing in multi-dimensions as well as presenting the practical methods for representing statistical indicators on maps or within dashboards. 13 January to 24 February 2021 | Online e-Learning Course on 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. Facebook ESCAP Home ESCAP Statistics Division United Nations Statistics Division APCICT APCTT APDIM CSAM © United Nations SIAP