We can entertain you for about 50 days with statistics courses. Obviously, no one wants to do so much statistics at once. We provide 10 statistics courses, see the figure below.

 Click for larger pdf version

The three most popular courses are:

  • Course 4: Data exploration, regression, GLM and GAM. With an introduction to R.
  • Course 5: Introduction to mixed modelling and GLMM. We provide two versions of this course; a frequentist version and a Bayesian version. The frequentist course is easier, but the Bayesian course is more versatile.

Most participants start with course 4 and do course 5 (or course 9) a couple of months or a year later.

The figure below shows the recommended order of courses. Note that course 4 contains an 'Introduction to R' module, so in principle you can skip course 1.

  Click for larger pdf version

Our course material is based on the following 10 textbooks.

  • Analyzing Ecological Data (Zuur et al. 2007)
  • Mixed Effects Models and Extensions in Ecology with R (Zuur et al. 2009)
  • A Beginner's Guide to R (Zuur et al. 2009)
  • Zero Inflated Models and Generalized Linear Mixed Models with R  (Zuur et al. 2012)
  • A Beginner's Guide to GAM with R (Zuur 2012)
  • A Beginner's Guide to GLM and GLMM with R (Zuur et al. 2013)
  • A Beginner's Guide to GAMM with R (Zuur et al. 2014)
  • A Beginner's Guide to Data Exploration and Visualisation (Ieno and Zuur 2015)
  • Beginner's Guide to Spatial, temporal and Spatial-Temporal Ecological Data Analysis with R-INLA. (Zuur et al. 2017)

Our courses are non-technical and are less suited for people interested in the underlying mathematics.