What it is about
You will learn basic programming with R and its application to data-based questions in the health sector. In the end you can read in, clean, analyze, visualize data sets in R and estimate simple regression models, as well as document results in R Markdown and independently carry out a small data analysis project.
What you will be able to do
- Use R as a calculator; create vectors, matrices and data frames
- Load data sets, create sub-samples and produce descriptive statistics
- Manipulate data (e.g., rename variables, create new variables)
- Create graphics to illustrate variation and covariation
- Estimate regression models and use them for prediction
- Write functions to automate analysis steps
- Understand and apply looping concepts efficiently
- Handle common problems: missing values and merging data sets
- Create reports with R Markdown
- Independently carry out a simple data analysis project
What the module consists of
- Interactive blended learning programming courseMain format for learning and practicing R programming
- Self-StudyEnables self-paced learning
- Exercise SheetsPractical tasks to solidify the content
- Hands-on Data ProjectApplication of the learned material in a practical project
Teaching method
- Interaktiver Blended-Learning-KursLinks in-person/interaction with digital materials for practical programming learning
- SelbststudiumAllows individual learning and deepening of the content
- ÜbungsblätterFor systematic practice and application of programming and analysis tasks
- Praktisches DatenprojektFor independently conducting a complete analysis including documentation