Ten live online courses run through October and November 2026 covering Python, Shiny, R visualisation and modelling, machine learning with tidymodels, and Git. Each course is two sessions delivered by practising data scientists with notes, demos, and hands-on exercises.
Ten public online courses remain in autumn 2026, each taught live over two 3.5-hour sessions (mornings or afternoons, UK time).
All participants receive course notes, scripts, live demos, and hands-on exercises delivered by trainers who work on client projects.
# What this schedule covers
# Who each pathway suits
R visualisation and statistics: Data Visualisation with ggplot2 (intermediate) focuses on producing clear, publication-quality charts in R. Statistical Modelling with R (intermediate) covers hypothesis testing, regression, clustering, and principal components analysis.
Machine learning with tidymodels: Machine Learning with Tidymodels (intermediate) and Advanced Machine Learning with Tidymodels (advanced) together provide a full workflow in R: preprocessing, model fitting, tuning, and advanced techniques. The advanced course and Git run in morning slots so you can pair them with afternoon sessions.
Git: Introduction to Git (foundation) runs in the mornings and covers version control basics and collaboration workflows. Its morning schedule makes it possible to combine with an afternoon course in the same week.
# Autumn 2026 schedule highlights
# Pricing and booking notes
# Planning beyond autumn
If you can't take courses this autumn, a public schedule for January–June 2027 is already live with early-bird pricing. That schedule repeats the same pattern: core R introductions and tidyverse workshops in January and April, Python courses in February and May, and machine learning with tidymodels in March. A multi-session Introduction to Bayesian Inference using RStan is listed in January as an intermediate option.
# How to use this schedule
Decide the skill path you need (Python, Shiny, R visualisation/statistics, tidymodels ML, or Git). Check morning versus afternoon sessions to pair courses within the same week. Note the one-week-before start booking cutoff and early-bird deadlines if cost is a factor. Click the listed course links on the provider page to view full outlines and to register.
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