This course provides participants with a practical foundation in statistical concepts and methods commonly used in research. It covers data types, descriptive statistics, data visualisation, sampling, confidence intervals, hypothesis testing, and basic statistical analyses. The course emphasises selecting appropriate statistical methods, interpreting results, and understanding statistical assumptions rather than software-specific skills and focuses on applying statistical thinking to real research problems. 

About Statistics and modelling

If your research study employs quantitative or mixed methodologies, you would need to understand the nuts and bolts of statistics and modelling. The Graduate Research School works with different providers to provide a range of sessions covering descriptive and inferential statistics as well as modelling with esteemed providers such as ISSR and Student Services.

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