Starts 6 Sep 2021
Ends 19 Nov 2021
Central European Time
Online -
An ICTP Virtual Meeting

This school provides Early Career Researchers (at MSc-level to 3 years after their PhD) and Professionals with the necessary set of foundational Data Science skills to enable them to analyse their data in an efficient and effective manner for the 21st century.
The material covered here is fundamental to all areas of Data Science and hence open to researchers from all disciplines that deal with significant amounts of data. The focus is to provide a practical introduction to these topics with extensive labs and seminars.
  • Open Science and Responsible Conduct of Research
  • Introduction to Unix Shell
  • Programming for Analysis
  • Git
  • Research Data Management
  • Author Carpentry
  • Data Visualisation
  • Information Security
  • Machine Learning
  • Computational Infrastructures
The school will be run on an online basis. Participants will be allowed seven days (a week) to complete each topic. Generally the participant would need to make provision for at least seven to eight hours to work through the content of the theme. The content also makes provision for practical exercises and at least one live question and answer session where facilitators will address concerns participants may have. Content will be provided as video lectures as well as presentation slides.

Registration: there is no registration fee.


Roger Barlow (University of Huddersfield), Louise Bezuidenhout (University of Cape Town), Raphael Cóbe (UNESP), Marcela Alfaro Córdoba (University of California), Alessandro Costantini (INFN-CNAF), Steve Diggs (Scripps Institution of Oceanography), Sara El Jadid (Queens University Belfast), Simon Hodson (CODATA), Romain Murenzi (TWAS), Epke Okorafor (Big Data Academy, Accenture), Bianca Peterson (North-West University), Rob Quick (Indiana University), Hugh Shanahan (Royal Holloway University), Shanmugasundaram Venkataraman (Digital Curation Centre), Hanna Short (CERN), Local Organiser: Clement Onime