We used machine learning to develop a model to identify areas of trees from satellite images in eastern Uganda, where the Mbale Trees Programme has been running since 2010.Read more on Using Sentinel-2 images to measure the change in tree coverage in eastern Uganda: what does it mean for the Mbale Trees Programme?
Part of our mission at the Data Science Campus (DSC) is to build data science capability across the public sector. In this project, which grew out of our Data Science Accelerator programme, we worked with the Royal Air Force (RAF) to help upskill their staff in the Python programming language and natural language processing (NLP) methods.Read more on Technical Report: Project Mertz—novel use of historical RAF flight safety records
This course is delivered through the Jupyter notebook application.Read more on Intermediate Python Programming
This course introduces the basics of carrying out a statistical analysis in Python.Read more on Statistics for Data Science
Natural Language Processing is a sub-field of Artificial Intelligence. It is used for processing and analysing large amounts of natural language.Read more on Introduction to Natural Language Processing in Python
This course is delivered through the Jupyter notebook application. Participants should attain a good understanding of basic data types in Python and associated methods and constructs that can be applied to them.Read more on Introduction to Python Programming
Our recent work
- Advancing official statistics through web data and international partnerships
- Using new shipping data to improve government understanding of trade flows
- Using open data to understand hyperlocal differences in UK public transport availability
- Using Sentinel-2 images to measure the change in tree coverage in eastern Uganda: what does it mean for the Mbale Trees Programme?
- Using data science to help inform regional broadband investment
- Campus in the top three at the UN PET Lab hackathon