| Title | Time | Room | Teacher |
|---|---|---|---|
| Introduction to R | 06.02.2026 09:30 - 16:30 (Fri) | online | Dr. Nicolas Attalides |
| Introduction to R | 13.02.2026 09:30 - 16:30 (Fri) | online | Dr. Nicolas Attalides |
This course focuses on introducing the R programming language to the participants and the underlying building blocks such as R syntax, operations, objects and data types. This enables the participants to learn how to write code in R in order to read, manipulate and visualise data.
- Get started with R and RStudio
- R objects and R data types
- Importing data
- Working with data frames
- Using functions in R
- Data manipulations and workflow
- Working with dates and characters
- Building graphs in R
This course includes a range of activities such as demonstrations, live-coding sessions, interactive quizzes, and practical exercises to work individually or in a group. Active participation and contribution are highly recommended.
At the beginning of the doctorate │ during the doctorate │ at the end of the doctorate
No prior knowledge of the R programming language is required for this course.
Participants should have their own laptop with R, RStudio and the relevant packages installed. Instructions for the technical setup will be circulated by the instructor before the course.
None.
The course will be delivered using Zoom and it will not be recorded.
- Nicolas brought a really captivating energy to the meeting which truly motivated me. This helped create a very positive and dynamic atmosphere. Questions and issues were addressed immediately, which made the learning process smooth and engaging.
- The lecturer was so excited about his topic, that there was only the possibility to be excited as well. Also he modified his pace according to the group which was really nice. The course was a mixture of listening, trying stuff out ourselves and getting stuff shown.
- Very interactive and practical teaching, always tried exercises ourselves
Dr. Nicolas Attalides is an experienced R programming instructor, an RStudio-certified trainer, and holds a doctorate in Statistical Science from University College London. With a background in data science consulting across industries such as insurance and telecommunications, he currently works as a Principal Data Scientist in the private sector. In addition to his industry role, he delivers short courses in R to universities, helping students and professionals develop practical data analysis skills.