Data Analysis: Planning and Preparing 
This course will give PhD students a strong foundation in data analysis. It introduces the essential elements of robust data analysis during a research project, emphasising the importance of planning and preparation to avoid time-consuming and costly mistakes. 

Data Analysis: Conducting and Troubleshooting 
This course covers key concepts, processes, and methodologies for effective data analysis during research projects, including exploring datasets, selecting appropriate analytic methods, and troubleshooting, which are fundamental for PhD students.  

Interpreting Scientific Results 
Analysing data correctly is a key skill for PhD students, as misinterpretation of results can lead to incorrect conclusions and wasted time. 

Managing Research Data 
Good data management practices are critical for PhD students to ensure research integrity, reproducibility, and compliance with institutional policies. They will learn how to create and maintain a data management plan, and best practices for organising, storing, archiving and quality-checking their data.