R language for statistical analysis
100% hands-on training: analyze your data and produce publishable results with R, from statistical tests to ggplot2.
Overview
R is a reference open-source language and environment for statistical computing, data analysis and scientific research. 100% hands-on training: from installing RStudio to advanced statistical tests and visualization with ggplot2. Live sessions (and recorded for review), applied examples for each module and a certificate of participation.
Learning objectives
- ✓ Master the basics of R and RStudio
- ✓ Handle vectors, matrices, data frames and lists
- ✓ Import and export data (CSV, Excel)
- ✓ Run descriptive statistics and hypothesis tests (parametric and non-parametric)
- ✓ Perform correlations and linear regressions
- ✓ Create quality visualizations with ggplot2 (including maps)
Target audience
University students, postgraduate students (master's/PhD) and anyone interested in statistics and data analysis.
Prerequisites
No programming experience required. Basic statistics knowledge is a plus.
Detailed program
- Installing R & RStudio
- The R & RStudio interface
- Arithmetic and logical operations
- Data types
- Vectors
- Matrices
- Data frame
- Lists
- Probability distributions
- Functions and installing packages
- Importing / exporting data (CSV, Excel)
- Descriptive statistics
- Normality test
- Parametric tests: t (one sample, two samples, paired)
- ANOVA + post-hoc tests
- Non-parametric tests: Wilcoxon (one/two samples, paired)
- Kruskal-Wallis, Friedman, Chi-squared test
- Simple correlation (Pearson, Spearman)
- Correlation matrix
- Simple linear regression
- Multiple linear regression
- Basic charts
- Visualization with ggplot2 (simple)
- Advanced visualization with ggplot2
- Maps and geographical visualization in R
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.
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Request the detailed program, a quote or a suitable date.
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