Introduction to R programming

The R programming language, together with its integrated development environment RStudio, constitutes a leading open-source platform for data analysis and processing.
This course provides participants with a comprehensive introduction to the R language, including fundamental commands, manipulation of diverse data structures, the development of user-defined functions, data visualization techniques, and the foundations of reproducible reporting. A strong emphasis is placed on practical application, with exercises based on real-world datasets. The curriculum also incorporates contemporary tools such as the ggplot2 package for advanced graphical representation and the broader tidyverse ecosystem for efficient data handling and analysis.

The course is designed to be accessible to individuals with no prior programming experience, while simultaneously providing practical skills applicable across various domains of data analysis.

The course is ideal for anyone seeking to begin programming and looking for a versatile tool for data analysis, statistics, and visualization.

Day 1: Fundamentals of Working in R

• Data types and structures
• Core data structures: lists and data frames
• Introduction to programming in R

Day 2: Practical Applications of R

• Review and hands-on exercises
• Functions in R
• Basic graphical visualizations in R
• Advanced visualizations using ggplot2

Day 3: Advanced Techniques and Applications

• Text processing in R
• The tidyverse ecosystem
• Creating documents with RMarkdown
• Final project