Ecological data are messy… We study a range of organisms and processes through varied study designs like long-term monitoring and factorial experiments, and most of the time usual statistical assumptions don’t hold because the data we collect are not independent.
But fear not, environmental scientist! This course stream is designed to give the more experienced R user* an overview of the things to consider in choosing and fitting a model, and to explore a wide range of statistical models, from mixed-effects models to ordination studies, time-series analysis, and more, with the option to branch out towards different programming languages to best suit your needs.
We assume you have a good understanding of the different objects in R and can manipulate them, for instance for plotting or inclusion in linear models. Need a refresher? Take a look at the tutorials in our Stats from Scratch or Wiz of Data Vis course streams.
We hope you enjoy doing the course! There is no time limit for completion, so you can take it at your own pace. Each tutorial listed above might take you between one and three hours to complete, and your completion will be recorded once you take the quiz at the end. You can track your progression and access the course quizzes in our test centre.
You can download all the materials for this stream from our GitHub repository.
If you are not yet registered for the course, you will have to sign up first.
If you have finished the stream and would like to request a certificate, you can do so in a few clicks. Note that this will not exclude you from the course, so if you decide to come back for more our doors are still open!
Get in touch
Bee in your bonnet? Technical issues? Don't hesitate to get in touch with any questions or suggestions concerning the course. Please keep in mind that this is a brand new course and we are still testing and implementing some features, so if you notice errors or some areas of the site are not working as they should, please tell us!