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. It also highlights advanced topics such as network visualization, high dimension data visualization, visualizing uncertainty and address some important issues when communicating with graphics. In particular, storytelling and the construction of visual narratives for any type of audience, or inclusive data visualization, is emphasized and discussed.
This course is at an advanced level, participants must have successfully completed one of these courses prior to registration :
- “Data Visualization for Official Statistics and SDG Indicators” a facilitated course conducted in 2021 and 2022, or, alternatively,
- “Principles of Data Visualization for Official Statistics and SDG Indicators” a self-paced course available on SIAP’s LMS.
Principles of Machine Learning for Official Statistics and SDGs
Registration to the self-paced course is open!
The course aims at providing an overview of the current methods and applications of Machine Learning, through theoretical concepts, pedagogical case studies and interactive resources. The course is not based on, nor does it require, a particular software. However reproducible examples are provided using the R/RStudio environment and Python.
See the flyer and the concept note
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.
The course is not based, nor does it focus, on any software. However, some popular software will be introduced and used in the course (Excel, QGIS, R/Rstudio, R Shiny, Google Sheets) as well as references to online tools.
See the flyer and the concept note
