Introduction to Statistics Using R

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.

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

 

bird

Early Bird rate is available for up to 4 weeks before the session runs.

Any problems with booking, please contact us on stathelp@imperial.ac.uk

 

Course fees and dates for 2023-2024

Course Fees

EARLY BIRD RATE

£270.00: Imperial College only.

£414.00: External rate.

STANDARD RATE

£300.00: Imperial College only.

£460.00: External rate

* Click here for Cancellation Policy

Dates for Academic year 2023-2024

  • Wednesday 25 October 2023
  • Tuesday 05 March 2024
  • Tuesday 11 June 2024
  • Tuesday 13 August 2024

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

Time and Location

The course will run face-to-face with an option to join via Microsoft Teams. 

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