Kigali Foundational School in Research Data Science
22 October – 2 November, 2018 University of Rwanda, Kigali, Rwanda
Background and purpose
The goal of this workshop is to train researchers in Research Data Science (RDS). RDS refers to the principles and practice of Open Science and research data management and curation, the use of a range of data platforms and infrastructures, large scale analysis, statistics, visualization and modelling techniques, software development and data annotation. These are important tools for extracting useful information from data and these tools are useful in every research area.
A 10-day workshop, organized by CODATA, RDA, ICTP and EAIFR, was conducted at the University of Rwanda, Kigali to introduce participants to the skills of RDS.
Materials for the 2018 School of Research Data Science in Kigali
- Day 1 - Introduction, Open Science, UNIX Shell
- Day 2 - Version Control with Git, Introduction to R
- Day 3 - Introduction to R
- Day 4 - Research Data Management
- Day 5 - Research Data Management, Open Science
- Day 6 - Data Visualization
- Day 7 - Overview of Machine Learning - 20of20Machine20Learning202018.pdf">Fundamentals, 20Systems202018.pdf">Recommender Systems
- Day 8 - Artificial Neural Networks
- Day 9 - Computational Infrastructures - Lecture 1, Lecture 2, Lecture 3,
- Day 10 - Computational Infrastructures Wrap-Up - Lecture 4, School Close Out
Some of the material in this curriculum was derived and adapted from work that is Copyright © Software Carpentry made available under the Creative Commons Attribution license.