R is a free software environment for statistical computing and graphics.

The R language allows the user, for instance, to program a series of commands to pre-process and manipulate data and then analyse that data before tailoring, presenting and plotting the results. R packages are pre-written code to find a solution to problem. R packages shared by other R users allows the user to find efficient solution to problem with ease.

Not related to any specific area of research. This is a 1 day practical PC-based workshop, covering graphs and summaries, descriptive statistics then progressing to 1 and 2 sample tests, one-way ANOVA and simple linear regression.

Entry requirements: Participants from any background can attend the course. Some familiarity with R is required to attend this course. Alternatively, you should have attended Introduction to R or Foundations in R course.

Course Tutor: Krupa Shukla

This course has been approved by the Royal College of Physicians for 6 CPD credits.

Early Bird rate is available for up to 2 weeks before the session runs.

For group/block bookings, charity pricing and course queries, please contact stathelp@imperial.ac.uk.

Course Outline

Data Entry and Manipulation

  • Categorical and continuous data
  • Transform, recode and compute variables
  • Graphs and tables
  • Simple plots and descriptive statistics
  • Cross tabulation

Basic Statistical Analysis

  • Estimation and hypothesis testing
  • One sample tests: t-test, signed rank test
  • Two sample tests: t-test, Mann-Whitney test
  • 1-way Analysis of Variance (ANOVA)
  • Correlation and simple linear regression

Course fees and dates for 2025-2026

Course Fees

  • Imperial College Students : £200 (Early-bird fees : £180)
  • External students : £260 (Early-bird fees : £234)
  • Imperial College Staff : £340 (Early-bird fees : £306)
  • External : £460 (Early-bird fees : £414)

Click here for Cancellation Policy

Dates for Academic year 2025-2026

  • Thursday 23 October 2025 - ONLINE
  • Wednesday 04 February 2026
  • Tuesday 02 June 2026 - ONLINE
  • Thursday 16 July 2026

Please CLICK HERE to be redirected to the registration forms and booking links.

Time and Location

The delivery mode is HYBRID for all courses unless specified ONLINE ONLY.

HYBRID courses may be switched to ONLINE ONLY in unforeseen circumstances.

This will be confirmed 3 weeks before the course date.

Class joining details will be sent a week prior to the course date.