Start using R - Introductory course

Student using laptop in library
  • Level(s) of study: Short course
  • Study mode(s): Full-time
  • Location: Clifton Campus
  • Starting: September 2018
  • Course duration: Two days

R is a free software programming language and software environment for statistical computing and graphics. This two-day workshop is designed for people who want to use R for analysing data and generating custom graphics.

Why choose this course?

This workshop has been designed for people who want to learn R. Beginning with the basic concepts and components of R, you will become familiar with the R environment and will learn how to analyse data, produce summary statistics and generate standard graphics. On day two, you will learn more about the powerful core graphical capabilities of R and be introduced to a number of packages which will help you to generate custom designs.

If you wish, you may choose to attend either of the single-day workshops that make up the introductory two-day course, or any combination of workshops which make up the intensive four-day course, according to your experience and preference.

Access to computers is provided throughout the course, but you may also wish to bring your own laptop so that you can use the software in a familiar context.

Who will teach me?

The course is led by Dr Golnaz Shahtahmassebi, a lecturer in statistics and an applied statistician. She uses R extensively in her research in statistical and computational methods related to life sciences including medicine, sport and physics.

Dr Ben Dickins lectures in the School of Science and Technology with teaching responsibilities in molecular biology, biochemistry and evolution and also uses R extensively in his research.

Get in touch

If you have any questions about this course, please email us.

What you'll study

Day One: Start using R for statistical analysis

On day one you will explore the R environment and acquire basic skills in R, including data objects, working with data and generating standard graphics. You will discover how to produce summary statistics, carry out analysis of variance or regression analysis and calculate sample size and the power of a statistical test.

Day one topics

  • R's basic concepts
  • components including the R environment
  • data objects
  • working with data
  • generating standard graphics.

Day Two: Explore R graphics in depth

By the end of day two you will have acquired key skills and knowledge for visualising data and producing professional graphics. During this workshop you will be introduced to the ggplot2 package which facilitates custom designs, and you will explore the advanced capabilities associated with the lattice and googleVis packages.

Day two topics

  • R's core graphical capabilities
  • customising R base graphics
  • ggplot2 graphics modelling
  • Lattice and googleVis packages.

If you wish, you may choose to attend either of the single-day workshops that make up this two-day introductory course, or any combination of workshops which make up the intensive four-day course, according to your experience and preference.

Careers and employability

There is currently no careers information available for this course.

This course does not currently offer placements.

Entry requirements

There are no formal entry requirements for this course. You do not need any prior knowledge of R or programming, but a basic understanding of statistics would be helpful.

If you prefer, you can choose to attend either of the single-day workshops that make up the two-day introductory course, or any combination of workshops which make up the intensive four-day course, according to your experience and preference.

How to apply

Applications for this course will be opening soon. To register your interest, please email us

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Fees and funding

For information on course costs, please visit the NTU online store

Still need help?

+44 (0)115 941 8418