Advanced Data Analysis in R- Tuesdays, 9:00am–12:00pm 3rd, 10th, 17th, 24th & 30th March 2026

£300.00

Need to take your analysis further?
Enrol on our “Advanced Data Analysis in R” course, designed for those already familiar with R and linear modelling who want to deepen their understanding of modern statistical approaches.

You’ll explore more complex techniques used in research and applied data science, including:

  • Generalised Linear Mixed Models (GLMMs)

  • Generalised Additive Models (GAMs)

  • Zero-Inflated Models

This follow-on course builds your confidence in handling real-world datasets, interpreting advanced model outputs, and applying the right statistical tools to complex data.

Taught across 5 Tuesday Mornings in March 2026

Need to take your analysis further?
Enrol on our “Advanced Data Analysis in R” course, designed for those already familiar with R and linear modelling who want to deepen their understanding of modern statistical approaches.

You’ll explore more complex techniques used in research and applied data science, including:

  • Generalised Linear Mixed Models (GLMMs)

  • Generalised Additive Models (GAMs)

  • Zero-Inflated Models

This follow-on course builds your confidence in handling real-world datasets, interpreting advanced model outputs, and applying the right statistical tools to complex data.

Taught across 5 Tuesday Mornings in March 2026

Advanced Data Analysis with R Statistical Software Course

fee: £250 per person (excl. VAT) (includes tuition and all teaching materials - guidebook, template script files, datasets, powerpoint materials, etc.)

Day 1

09:30 – 10:00 Introductions and welcome talk

10:00 – 10:30 Recap of GLMs

10:30 – 13:00 Avoiding pseudo-replication: Generalised Linear Mixed Models (GLMM)

14:00 – 16:30 Modeling wiggly lines with Generalised Additive Models (GAM) and General Additive Mixed Models (GAMM).

16:30 – 17:00 Workshop (Applying the code)

Day 2

09:00 – 11:00 Perils and pitfalls of model selection: Multi-Model inference and model averaging (MuMIn)

11:00 – 13:00 Zero-Inflated models (ZIP, ZINB and ZAGA)

14:00 – 16:30 Small group workshops on your data including 1-2-1 help.

16:30 – 17:00 End of course pep talk