What is R?
R is a programming language and computing environment. It's designed specifically for statistics and data analysis. In the last two decades, R has grown to be one of the 10 most popular programming languages in the world.
R has between 10 and 20 million regular users. There are over 18,000 add-on statistics and data science packages available. It's widely and increasingly used throughout academia for both teaching and research.
Outside academia, R is also used in:
- the internet and tech sector
- the healthcare sector
- the financial services industry
- journalism
- government
- the public sector.
R is a dominant tool in any sector of the economy where data analysis plays a vital role. Learning to use R and its most popular packages has become essential in many industries. R users are increasingly sought after.
The benefits of learning R
By learning R or by expanding your current R skillset, you can:
- become a more effective and efficient data analyst
- efficiently process and manipulate large and complex data sets
- produce visualizations to explore patterns in the data
- perform more sophisticated statistical analyses.
Who can attend an R short course
We offer a four-day in person workshop and workshop-based online continuing professional development (CPD) courses. We've designed them for a wide range of people who want to get more out of their data.
- are at any stage of their careers, and
- are seeking to learn R, or
- wish to advance their R-based computational statistics and data science techniques and skills.
Courses coming soon
These online courses aren't open to book yet, but dates will be confirmed later this year. Please email kelly.smith@ntu.ac.uk to express your interest.
Introduction to statistics using R and Rstudio
Introduction to Bayesian Data Analysis with R
Introduction to Generalized Linear Models in R
Introduction to Data Visualization with R using ggplot
Introduction to Data Wrangling using R and tidyverse
Introduction to Multilevel (hierarchical, or mixed effects) Models using R
This 4-day in-person course isn't open to book yet, but dates will be confirmed soon. Please contact us to register your interest.
