Upcoming, ongoing and recent courses:
> Ongoing and Upcoming Facilitated Courses
- Machine Learning for Official Statistics and SDGs [ Starting 27 November until 19 January 2024 ] -see concept note
> Recent Self Paced Courses
- การฝึกอบรมหลักสูตร e-learning เกี่ยวกับกรอบสถิติที่เกี่ยวข้องกับภัยพิบัติ ในรูปแบบภาษาไทย (DRSF-THAI LANGUAGE)-Self-Paced
- Introduction to International Recommendations on Refugee and IDP Statistics - Self-paced course available from 24 April 2023 (see the course outline)
- 2022 Health Statistics for Monitoring the Sustainable Development Goals - Self-paced course (see the course outline)
- Second Online Course on Crime Statistics from a Gender Perspective - Self-paced course
- Using gender data for analysis, communications and policy making in the context of SDG monitoring and beyond - Self-paced course (see the flyer)
- Principles of Data Visualization for Official Statistics and SDG Indicators- Self-paced course (see the flyer)
- Principles of Machine Learning for Official Statistics and SDGs - Self-paced course (see )
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.
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.
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.