Field Data Experts
Educational Enjoyment
At Eco-Explore, we're more than just educators; we're life scientists passionate about the environment and the natural world. We understand that for many aspiring and current ecologists, the world of data analysis can be as challenging as the terrain we wish to protect. That's why our specialised training programs are crafted to empower you with the analytical tools necessary for ground-breaking work in science and conservation. Every course you take with us not only sharpens your professional edge but also supports the environment directly. Profits from our programs are reinvested into local conservation initiatives—your growth aids the growth of our planet.
Check out our projects to see the tangible impacts of your contributions and how Eco-Explore is turning data analysis into a force for ecological advancement.
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)
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)
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.
“Incredibly knowledgeable teachers with amazing experience of R”
“Excellent step-by-step walkthroughs and explanation of key concepts!”
“Just too good to be true! Already applying these codes to my data set”
“Had not used R before and stats was very rusty, Feel that I can now use R and its similarities/differences to Python and how much better it is a graph visualisation.” –
Guidebook
Our 150-page guidebook is designed to help you quickly to become familiar with R and to explore its potential as a powerful tool for analysing your data, whatever your field of research. The guidebook covers the simple things (getting started with R, plotting graphs, simple statistical tests) as well as more complex topics (e.g. GLM, GAM, GLMM, multivariate data exploration, time-series and survival analysis, spatial analysis).