The CODATA-RDA Research Data Science School
CeNAT, RedCONARE, UCR
This school provides early career researchers (at MSc-level to 3 years after their PhD) from the Latin American Region 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 and professionals from all disciplines that deal with significant amounts of data. The goal is to provide a practical introduction to these topics with extensive labs and seminars.
- Open Science
- Introduction to Unix Shell
- Programming for Analysis
- Research Data Management
- Author Carpentry
- Data Visualization
- Information Security
- Machine Learning
- Computational Infrastructures
How to apply:
Female students and scientists are encouraged to apply
The school has no cost, and a limited number of grants are available to support the attendance of selected participants from developing countries.
M. ALFARO CÓRDOBA, Universidad de Costa Rica, Costa Rica
R. COBE, UNESP, Brazil
R. QUICK, Indiana University, USA
H. SHANAHAN, Royal Holloway University, UK
L. BEZUIDENHOUT, University of Oxford, UK
C. GAMBOA, CNCA CeNAT
E. MENESE, CNCA CeNAT