Starts 5 Aug 2019
Ends 16 Aug 2019
Central European Time
Kastler Lecture Hall (AGH)
Via Grignano, 9 I - 34151 Trieste (Italy)
This school provides Early Career Researchers (at MSc-level to 3 years after their PhD) and Professionals (who register via ITU Academy) 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 provide a practical introduction to these topics with extensive labs and seminars.

  • Open Science
  • Introduction to Unix Shell
  • Programming for Analysis
  • Git
  • Research Data Management
  • Author Carpentry
  • Data Visualisation
  • Information Security
  • Machine Learning
  • Computational Infrastructures
Individuals with a background in High Energy/Particle Physics, IoT/Big-Data Analytics, Bioinformatics and Climate Data Sciences can apply to one of the Advanced workshops that run immediately after the school.

A limited number of grants are available to support the attendance of selected participants from developing countries.
Professionals and corporate entities must register and apply via the ITU Academy platform.
**DEADLINE: 18/04/2019**


Prof. R Murenzi (TWAS), Prof. Nicola Mulder (University of Cape Town, South Africa), Prof. Teresa K. Attwood (University of Manchester, UK), Dr. Rob Quick (Indiana University, USA), Dr. Celia van Gelder (Dutch Institute for Life Sciences (DTL), Netherlands), Dr. Hugh Shanahan (Royal Holloway University, UK), Dr. Simon Hodson (CODATA, France), Dr. Andrew Harrison (University of Essex, UK), Ivan Girotto (ICTP), Ulrich Singe (ICTP), Marco Zennaro (ICTP), Adrian Tompkins (ICTP), Louise Bezuidenhout (University of Oxford, UK), Marcela Alfaro Cordoba (Universidad de Costa Rica, Costa Rica), Raphael Cobe (UNESP, Brazil), Sarah Jones (University of Glasgow, UK), Local Organiser: Clement Onime