Please be aware that this course is now fully subscribed and we expect to run it again in Spring 2020. Please contact Kylie Norman if you would like to add your name to the waiting list. Run in conjunction with Leeds Digital Festival 2019, Geocomputation and Data...
Please be aware that this course is now fully subscribed and we expect to run it again in Autumn 2019. Please contact Kylie Norman if you would like to add your name to the waiting list. This half-day course, run in conjunction...
**In conjunction with Leeds Digital Festival 2019** This two-day course provides an introduction to Python programming with a focus on data analytics. The course will introduce some basics in Python programming such as data types, basic operations, data sequences and data structures, control flows, exceptions and...
Please note that only emails ending .ac.uk will be taken into account for bookings on this course. This 1-day interactive course provides a practical introduction to data visualization with Tableau Desktop, an industry-leading visualization tool. You will learn how to create effective visualizations by avoiding...
Please note this Summer School is now fully subscribed. If you would like to be added to the waiting list, please contact Kylie Norman. This five-day summer school offers state-of-the-art training in the analysis of observational data for causal inference. By exploring...
This five-day School, run in collaboration with The Alan Turing Institute, offers state-of-the-art training in the analysis of observational data for causal inference. By exploring the philosophy and utility of directed acyclic graphs (DAGs), participants will learn to recognise and avoid a range of common pitfalls in the analysis...
This 1 day course offers an introduction to spatial analytics in a public health context. As spatial data sets get larger, more sophisticated software needs to be harnessed for their analysis. R is now a widely used open source software platform for statistical analysis and is increasingly popular for those working with spatial...