Master R for statistical analysis, data visualisation, and reproducible research — the leading open-source tool for statisticians and data scientists worldwide.
Enrol Now →Overview
R is the world's leading open-source language for statistical computing and data visualisation. Freely available and backed by a vast community of researchers and data scientists, R is used in universities, research institutions, central banks, and international organisations globally.
This course takes you from R basics through to advanced statistical modelling and publication-quality visualisation using the tidyverse and ggplot2 — with every session grounded in real research datasets and reproducible R script writing.
Your Instructor
Statistician & R Specialist
Our R trainer has extensive experience using R for academic research, econometric modelling, and data science projects. Sessions emphasise reproducible workflows and real-world statistical application.
Learning Outcomes
Write and run R scripts confidently using RStudio and R Markdown
Import, clean, and manipulate data using the tidyverse — dplyr and tidyr
Create publication-quality charts and plots using ggplot2
Run descriptive statistics, hypothesis tests, and correlation analyses
Build linear and logistic regression models and interpret outputs correctly
Produce reproducible research reports using R Markdown and knit to PDF or Word
Real Life Applications
R is used wherever rigorous statistical analysis and reproducible research are required. Here is how this course applies across different contexts.
Write fully reproducible analyses, produce publication-quality figures, and generate research reports directly from R Markdown.
Analyse macroeconomic data, run econometric models, and produce quantitative policy evidence with reproducible R scripts.
Analyse household survey data, run impact evaluations, and produce donor reports with automated, reproducible workflows.
Analyse clinical trial data, model disease spread, and produce health outcome reports for publication or policy use.
Analyse and visualise public datasets, produce interactive charts, and tell data-driven stories for any audience.
Build predictive models using caret and tidymodels for classification, regression, and clustering tasks.
Course Outline
Free Preview
Get a feel for R before you enrol.
🎬 This is a sample public tutorial. Our full course covers advanced statistical modelling with real research datasets and structured exercises.
Testimonials
"The ggplot2 module alone was worth the entire course. My thesis figures now look completely professional and publication-ready."
"R Markdown changed how I work completely. I now produce fully automated reports that update instantly when new data comes in."
"I switched from SPSS to R after this course and never looked back. The tidyverse makes data cleaning so much faster and cleaner."
FAQ
Yes. R and RStudio are completely free and open-source. You can download both before the course starts and we guide you through setup in the first session.
No prior programming experience is required. The course starts from absolute basics and builds progressively to advanced topics.
Yes. All participants who complete the course and practical assessment receive an official ResearchBridge Certificate of Completion.
Yes. We offer group pricing for teams of 5 or more. Contact us for a custom quote and scheduling that suits your organisation.
