Training
Statistical analysis is an increasingly important and useful part of the toolkit of techniques that are available for understanding the environment. Eco-explore offers a range of standard and bespoke training course formats, designed to help scientists to become familiar with the R statistical software package, and to explore its potential as a powerful tool for analysing their own data, whatever their specific field of research. Learning is supported by a course guidebook, template scripts, and through post-course support and networking.
Our 2 and 3 day training course programmes are based on multiple 1- 2 hour sessions per day (plus workshops). Courses are online using Zoom with recordings provided but can be offered in person on request. These courses have been provided to a range of academic and applied institutions including; the RSPB, various Wildlife trusts and Universities including Cardiff, Reading, Aberystwyth, Swansea and DTPs including GW4+ and the Natural Environment Research Council.
Our Courses
Introduction to Data Analysis with R
4 DAY COURSE | Tuesdays 09:00am-12:00pm
Dates: 3rd, 10th, 17th & 24th February 2026
Fee: £200 + VAT (£240)
Taught across four Tuesday Mornings in February 2026. Learn how to handle, analyse, and visualise data using R, one of the most powerful and widely used tools in data science and research. This hands-on, practical course is ideal for beginners—no prior experience with R is required.
Over four sessions, you’ll be guided step-by-step through key concepts in data analysis and statistical modelling. You’ll gain confidence writing R scripts, managing data, and applying statistical tests to real-world datasets.
Topics include:
Understanding R and RStudio: what is a script file?
Installing and using packages
Importing and cleaning data
Exploring data through summary statistics and plots
Introduction to linear models
Generalised Linear Models (GLMs) using measurement and count data
By the end of the course, you’ll have a clear understanding of how to use R for data analysis, interpret statistical results, and apply these techniques in your own work or research.
Advanced Data Analysis in R
5 DAY COURSE| Tuesdays 09:00am-12:00pm
Dates: 3rd, 10th, 17th, 24th and 30th March 2026
£250 + VAT (£300)
Taught across five 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.