Statistics and Regressions with R: an Introduction (Summer School)

By the end of this course you should be able to:
set out a plan of analysis for a research question, accounting for all types of data involved and aspects of the question
choose the best way of graphically displaying data and results
choose the significance tests suitable to answer the research question
make appropriate use of statistical inference methods
understand when regression methods are useful
choose the most suitable regression model for your analysis
evaluate the goodness of fit of the fitted model
perform appropriate model diagnostics and predictions
perform all the above analyses in the Rstudio software package

You don't need any knowledge of statistical analysis or R to attend this course.

You'll receive a certificate of attendance when you have completed the course.