| Titel | Zeit | Ort | Dozent |
|---|---|---|---|
| Introduction to R | 27.04.2026 16:00 - 18:00 (Mo) | online | Jay DesLauriers |
| Introduction to R | 28.04.2026 16:00 - 18:00 (Di) | online | Jay DesLauriers |
| Introduction to R | 29.04.2026 16:00 - 18:00 (Mi) | online | Jay DesLauriers |
This course provides an introduction to R as a programming language. We will not look at data handling or statistical tests in detail, as these are beyond the scope of this introductory course.
The course will include a lot of hands-on practice using the RStudio environment.
Syllabus:
Basic calculations
- Data structures (vectors, matrices and data frames)
- Control structures (if, while and for)
- Functions
- Importing data
- Plotting charts
- Use RStudio to work with R notebooks.
- Apply fundamental components of the R language including variables, loops, conditionals, functions and data structures.
- Import data from a file to make simple plots.
- Create programs designed to solve simple problems
Microsoft Teams with live teaching and hands-on practice.
At the beginning of the doctorate | during the doctorate | at the end of the doctorate
No prior programming experience is required.
Laptop/tablet with stable internet connection, microphone, webcam and Microsoft Teams.
Please ensure that you have up-to-date versions of both R and RStudio installed and working before the course:
R and RStudio can also be installed via the Anaconda data science platform:
This course is offered in cooperation with Imperial College London. Please book your place through DocGS and not through the Imperial College London website.
Jay DesLauriers is a Teaching Fellow based at the Early Career Researcher Institute, within the Research Computing and Data Science group at Imperial College London. More info here.