The department conducts training in statistical methods, data analysis and computing for students, researchers and scientists.
Training themes
- Multivariate data analysis tools, including principal component analysis, factor analysis, canonical correlation and cluster analysis.
- Basic statistics for agricultural research and hands-on data analysis.
- Design and analysis of experiments, visualization and the GRAPES web application.
- Online training on statistical methods for plant disease forecasting and management.
Student participation
Students present posters and apply their research in areas such as crop disease detection, statistical graphics and agricultural forecasting. Explore the research themes.
For current calls and registration information, visit the training programmes and updates pages.