This module is focussed on teaching data analysis using the statistical programming language R. The module covers: * The basics of using R * Drawing publication standard graphs with R * Experimental design, * Exploratory data analysis, * The fundamentals of statistical testing including t-tests and chi square tests, * ANOVA and Regression * Fitting and interpreting general linear models *The basics of bioinformatics analysis in R. The module is taught with a mix of theory and practice, with a typical day including roughly two hours of theory instruction in the morning followed by a practical session in the afternoon, often involving hands on analysis of real experimental data sets.

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