Registration to the self-paced course is closed! (New session early 2023)
A 8-weeks facilitated course starts 21 November 2022 (see https://siap-elearning.org/)
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.
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 concept note