This five-days non-conventional comprehensive R course takes you from foundational skills in R to advanced statistical modelling techniques.

Whether you are new to R or looking to strengthen your analytical toolkit, this course offers a structured, supportive pathway to developing robust data skills.

This hands‑on practical course will get you started with fundamentals of R, work confidently with the tidyverse package, explore introductory statistics, and build models for continuous, binary, and time‑to‑event outcomes.

Course Tutor: Krupa Shukla

Early Bird rate is available for up to 2 weeks before the session runs. Additional Super Early-Bird discount for registrations before 31st March 2026.

For part course attendance, group bookings and other queries, please contact stathelp@imperial.ac.uk.

Course Content

Day 1 Content

  • Getting R
  • Dataframes, Data structures and different types of data
  • Working with data and Special types of values in R
  • Working with Dataframes and Visulaising Data using Graphs
  • R Workspace and R History

Day 2 Content

  • Programming in R
  • Working with R Environment
  • Using "tidyverse" package for summarising and plotting graphs using ggplot2
  • Types of data - Recode, transform and compute variables
  • Summary Measures and Descriptives
    • Using graphs to describe data
    • Tabular presentation of data

Day 3 Content

  • Estimation and hypothesis testing
    • P-values
  • One sample tests: t-test, signed rank test
  • Two sample tests: t-test, Mann-Whitney test
  • Chi-square Test for Independence of two categorical variable
  • One-way ANOVA
  • Two-way ANOVA
  • Correlation

Day 4 Content

  • Simple linear regression
  • Multiple Linear regression
    • Selecting a Model – Stepwise selection and regression diagnostics
  • Analysis of CoVariance
  • Logistic Regression
    • Odds Ratio
    • Likelihood ratio test
    • Hosmer-Lemeshow Test

Day 5 Content

  • Logistic Regression – ROC Curve for ordinal variable
  • Survival Analysis
    • Life tables
    • Kaplan Meier Survival graph
    • Log-rank test and Tarone-Ware test
    • Cox proportional hazards regression
    • Diagnostics for proportional hazards

Fees and dates for 2025-2026

Course Fees

Students : £900 (Early-bird fees: £800)

Imperial College Staff, Academic and Charity : £1300 (Early-bird fees: £1500)

External Fees : £1800 (Early-bird fees: £2000)

Click here for Cancellation Policy

Dates

  • Monday 11 to Friday 15 May 2026

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

Time and Location

The courses will be run online via Microsoft Teams from 10 am to 4:30 pm on the dates mentioned.