Registration deadline: 15 June
Course content
This 1.5-day workshop introduces Master’s and PhD students or Postdoctoral Fellows to artificial intelligence (AI) for health research using R. Participants will learn fundamental data analytics, statistical analysis, and machine learning techniques in a secure research environment. Hands-on modules will explore key R packages, including tidyr, dplyr, ggplot2, and xgboost while utilizing HUNT Cloud and real-world sensitive health data from the Trøndelag Health Study (HUNT). The workshop follows an interactive, peer-learning approach with expert instruction from computational researchers and guest lecturers. Prior computational experience is not required, but familiarity with basic programming concepts is beneficial.
Learning outcome
- Set up and navigate the RStudio environment.
- Familiarize with R syntax and core concepts.
- Define sensitive data and understand the ethical considerations for its analysis
- Create reports for sharing analysis methods and results using RMarkdown
- Manipulate and manage data using data frames, lists, and matrices within the tidyverse
- Create basic plots (scatter plots, bar charts, line graphs) using ggplot2.
- Customize and enhance visualizations (themes, labels, scales).
- Perform basic statistical tests and interpret results.
- Explore key machine learning packages in R (caret, randomForest, xgboost).
- Understand data preprocessing steps required for machine learning tasks.
- Build a simple predictive model (classification or regression) from scratch.
- Evaluate and interpret the performance of the model using appropriate metrics.
Recommended previous knowledge
- Master’s, PhD, or postdoctoral fellows from any region of Norway; particularly individuals working with HUNT Cloud computing environment to access data from the HUNT Study.
- Basic statistics or programming experience preferred but not required.
The course is supported by the Digital Life Norway Research School and there are a limited number of travel grants available for our members.
Contact course coordinator: