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Introduction to Generalised Linear Models for Ecologists - Only ONE Early Bird Ticket Left – £400

Oliver Hooker 
*We Only Have ONE! Early Bird Ticket Left ? ?400*
(Great value for a 40-hour course taught by an ecological statistician,
with 30 days of access to recorded lectures after the course ends)
Introduction to Generalised Linear Models for Ecologists (GLME01)

*Master the fundamentals of GLMs in R with a focus on ecology!*

*Dates:* 8th?12th & 15th?19th September 2025
*Format:* 10 half-day sessions (4 hours each), live online. Recordings
available the same day, with access for 30 days.
*Cost:* Early Bird ?400 (only 1 left) ? Standard Price ?450

Course Page & Registration
<https://www.prstats.org/course/introduction-to-generalised-linear-models-for-ecologists-glme01/>
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Why This Course?

Traditional introductory statistics often treat t-tests, ANOVA, and
regression as separate topics. GLMs provide a unified, flexible framework
to model a wide range of ecological data?from continuous measurements to
binary and count outcomes.
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Course Description

This 10-day course provides a comprehensive introduction to Generalised
Linear Models (GLMs) using R. GLMs extend linear models to handle data with
non-normal error structures, including binary, count, and proportion data.

Through a combination of lectures and hands-on exercises, participants will
learn how to prepare data, fit GLMs, interpret results, and apply them to
ecological datasets.

No prior experience with GLMs is required, but familiarity with R and
linear models is recommended. The course is ideal for researchers,
analysts, and students seeking a solid foundation in applied statistical
modelling.
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What You?ll Learn

   -

   The theoretical foundations of GLMs
   -

   How to choose error structures and link functions
   -

   Fitting logistic, Poisson, and other GLMs in R
   -

   Model selection, diagnostics, and assumption checking
   -

   Interpreting coefficients and assessing model fit
   -

   Visualising and communicating model results
   -

   Common pitfalls and how to avoid them
   -

   Applying GLMs to real-world ecological data

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*Contact:* oliver at prstats.org