Data Analysis in R for Becoming a Bioscientist
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Just sharing some teaching materials which might be useful.
In the Department of Biology at the University of York in the UK, we teach Data Analysis in R from stage 1 to over 400 students. There are “Becoming a Bioscientist” modules in each of semester of the first two years.
These are the stage 1 materials.
In Data Analysis in R for Becoming a Bioscientist 1 students learn some core concepts about scientific computing, types of variable, the role of variables in analysis and how to use RStudio to organise analysis and import, summarise and plot data.
In Data Analysis in R for Becoming a Bioscientist 2 we move on to the logic of hypothesis testing, confidence intervals, what is meant by a statistical model, two-sample tests and one- and two-way analysis of variance (ANOVA)
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