LIDA offers a range of data analytics programmes for academic and non-academic researchers. The courses, which take place in our ideally equipped training room, range from introductory courses for postgraduate students through to advanced training for data scientists.
These one day courses, suitable for academic and non-academic researchers provide an introduction to popular tools for spatial and data analytics:
- Introduction to R
- Introduction to Data Science
- QGIS (with vector and raster data)
- Spatial methods for public health researchers
Advanced Training for Data Scientists
Intermediate and advanced courses suitable for academic and non-academic researchers who have completed the introductory course and/or have practical experience.
- Intermediate R
- Geocomputation with R
- Causal Inference: the challenges and pitfalls with observational data
Other Consumer Data Research Centres
View all our upcoming Consumer Data Research Centre (CDRC) courses here