Course Advanced R

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ECTS: 4

Course leader: Florian Franck Privé

Language: English

Graduate school: Faculty of Health

Course fee: 4,800.00 DKK

Status: Course is open for application

Semester: Fall 2025

Application deadline: 09/06/2025

Cancellation deadline: 23/06/2025

Course type: Classroom teaching

Start date: 18/08/2025

Administrator: Lena Melchior

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Criteria for participation

In order to take part of this course, you must have some basic knowledge in R and some experience writing some R code; How to create variables, functions, loops, etc. and how to subset objects such as vectors and data frames.

Please note:

When applying you will be placed on waiting list. When application deadline has passed you will be informed if you have got a seat on the course.

The course Advanced R course (A297/06) is being offered by the Graduate School of Health, Aarhus University, 2025.

Requirements for participation: Participants must have some basic knowledge in R and some experience writing some R code. This includes how to create variables, functions, loops, etc., and how to subset objects such as vectors and data frames.

Aim: This course aims to give PhD students a greater understanding of the R language for them to produce more clean, sophisticated and efficient R code, and also make them adopt better practices and learn more about packages and tools that will simplify their life when coding in R and doing some data analysis and visualization. Note that this is NOT a Statistics course at all.

Learning outcomes: At the end of the course, participants should be able to:

  • Use RStudio with a better setup to be more efficient in their work
  • Version their code with Git to keep track of changes in their code
  • Understand more R as a programming language and write better, simpler code
  • Manipulate and visualize data with the tidyverse and R Markdown
  • Produce efficient R code
  • Develop an R package

Workload: The full workload of the course is expected to be 30 hours.

Content: 

  • Day 1: Good practices and setup + Advanced programming with R + Introduction to R Markdown
  • Day 2: Data visualization with {ggplot2} + Data analysis with {dplyr} and related packages
  • Day 3: Data analysis with {dplyr} and related packages (cont.) + Code performance
  • Day 4: How to make an R package + Project preparation
  • Day 5: Project preparation (cont.) + Project presentation

Instructors: Florian Privé + Ole S. Hansen (course in English)

Venue: Fuglesangs Allé 26, 8210 Aarhus V – 2641-130 IT-Undervisningslokale

Participation in the course is without cost for:

Course dates:

  • 18 August 2025 09:00 - 16:00
  • 19 August 2025 09:00 - 16:00
  • 20 August 2025 09:00 - 16:00
  • 21 August 2025 09:00 - 16:00
  • 22 August 2025 09:00 - 16:00