Introduction to Statistics Using R and RStudio – Online

Master data analysis and statistics with our hands-on, two-day online course: Introduction to R and RStudio. Perfect for researchers, PhD students, and…

This course is designed for anyone looking to build or enhance their skills in data analysis and statistics using R, it is particularly well-suited for the following groups: Early-Career Researchers and PhD Students If you’re beginning your research journey, this course will help you develop robust data analysis skills essential for conducting high-quality, reproducible studies. Learn to navigate RStudio confidently and apply statistical techniques that will elevate your research output. Postdoctoral Researchers and Academics As a Postdoc or Academic, this course provides an opportunity to deepen your expertise in data science. Enhance your ability to analyse complex datasets, visualise results, and streamline your workflow with RMarkdown. These skills can improve your efficiency, strengthen your grant applications, and make your research more impactful. Data Analysts and Statisticians For professionals working in data-heavy roles, such as those in government, healthcare, or private sector organisations, this course offers tools and techniques to tackle statistical challenges efficiently. Gain skills in data wrangling, visualisation, and foundational statistical modelling that will add value to your current role and career progression. Industry Professionals Transitioning to Data Science If you’re transitioning into data science or statistical analysis roles, this course provides an excellent foundation. Learn how to use RStudio effectively for data manipulation, creating visualisations, and conducting statistical analyses that are increasingly in demand across industries like finance, marketing, and technology. This module is the first in the series and provides a comprehensive introduction to R for use in later modules. Modules can be taken individually or as a full series. No prior experience with R is required.

UK students: £360 (inc. VAT)

UK/Home: £360 (inc. VAT)

Wednesday 13 - Thursday 14 May 2026

Apply directly to the university. No fixed deadline — apply as early as possible for the best chance of a place.

• Online, United Kingdom