R language for statistical analysis
Analyze your data and produce publishable results with R and the tidyverse ecosystem.
Overview
R is the reference language for statistical analysis and research. This course makes you autonomous: from getting started with RStudio to running statistical tests and producing publication-quality graphics with ggplot2.
Learning objectives
- ✓ Get started with RStudio and the logic of the R language
- ✓ Import, transform and clean data with the tidyverse
- ✓ Run common statistical tests
- ✓ Create publication-quality graphics with ggplot2
- ✓ Generate reproducible reports with R Markdown
Target audience
Researchers, PhD candidates and teachers who need rigorous statistical analysis.
Prerequisites
Basic statistics knowledge appreciated. No programming experience required.
Detailed program
- Installing R and RStudio
- Objects, vectors, data frames
- Packages and working environment
- dplyr: filter, select, summarize
- tidyr: reshape data
- Handling missing values
- Descriptive statistics
- Hypothesis tests (t-test, ANOVA, chi²)
- Correlation and linear regression
- Charts with ggplot2
- Customization for publication
- Reproducible reports with R Markdown
Teaching methods
A mix of theory and hands-on exercises on real cases. Course materials provided.
Assessment
Continuous assessment through exercises and quizzes. Certificate of completion for each participant.
Funding
Eligible for funding by your employer, training fund or research institution. Quote on request.
Accessibility
Our courses are accessible to people with disabilities. Contact us to adapt the program.
Interested in a course?
Request the detailed program, a quote or a suitable date.
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