These courses provide a strong foundation in practical statistics and data analysis. They treat statistics as a practical skill rather than as a purely theoretical subject.
Recommended starting point
Core Statistics
Classical statistical analysis techniques including hypothesis testing, linear models and power analyses, with an emphasis on practical implementation and robust analysis skills.
Building on from Core Statistics
Generalised Linear Models
Practical introduction to generalised linear models, focusing on real-life applications in the biological sciences.
Linear Mixed Effects Models
Introduction to mixed effects, multilevel and hierarchical models for use in research and data analysis.
Related courses
Experimental Design for Statistical Analysis
Practical course on designing effective experiments and linking experimental design to a clear statistical analysis strategy.
Introduction to Bayesian Inference
Introduction to the tools needed to conduct Bayesian inference in common research settings.