Available courses

Machine Learning for Official Statistics and the SDGs-2023

Machine Learning for Official Statistics and the SDGs-2023

Facilitated

This 8-weeks facilitated course introduces machine learning as a tool for using either traditional or non-traditional data sources (big data) to produce high quality predictions for official statistics or Sustainable Development Goals (SDGs) indicators.

The course involves  mandatory live lectures and webinars, scheduled once a week. The learners are expected to interact during live sessions and through chat boxes embedded in each module.

Principles of Machine Learning for Official Statistics and SDGs

Principles of Machine Learning for Official Statistics and SDGs

 Registration to the self-paced course is suspended!

A new facilitated session of this course will start on 27 November, we encourage you to enroll (more soon)  

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

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