R Programming Basics is an accessible blended learning course in which participants learn to program in R step by step. The course covers the fundamentals of scripts, data structures, analysis, and visualizations. Through hands-on assignments, participants develop practical programming skills for data analysis and Geo-ICT applications.
R is a widely used programming language for data analysis, statistics, visualization, and automation. Within Geo-ICT, R is increasingly being used to process datasets, perform reproducible analyses, and present results clearly.
R Programming Basics focuses on the fundamentals of programming in R. You will learn to work with scripts, variables, functions, data structures, and simple analyses. The emphasis is on practical application, so you learn to apply R step by step within data analysis and Geo-ICT projects.
What makes R powerful is the combination of an accessible programming language, a wide range of packages, and robust data processing capabilities. This allows repetitive tasks to be automated and analyses to be clearly documented in reusable scripts.
In this blended learning course, you will learn, among other things, how to work with objects, vectors, data frames, functions, packages, and basic visualizations. You will also gain insight into importing, checking, and editing datasets within R.
In addition, this blended learning course provides a solid foundation for further steps toward R Spatial, GeoAI, remote sensing, statistics, or data science. Upon completion, you will have the programming foundation needed to use R effectively in professional data and Geo-ICT environments.
In this blended learning course, you’ll be introduced to the key components of programming in R. You’ll learn how to use R and RStudio, build scripts, and work with variables, objects, and basic functions.
Attention is given to data structures such as vectors, lists, and data frames. You will learn to import, view, and clean datasets, as well as perform simple operations. You will also discover how to use packages to expand R’s capabilities.
During the blended learning program, you’ll work on practical assignments and learn how to perform analyses step by step using clear scripts. Attention is also given to error messages, verifying results, and writing clean code.
Upon completion of the blended learning program, you will be able to independently perform simple analyses, manipulate data, and visualize results using R. Have you mastered these basics? Then you can advance to blended learning programs in R Spatial, data science, GeoAI, or remote sensing.
Blended learning combines independent online learning with practical, interactive sessions. This allows you to not only learn the theory behind programming in R but also apply this knowledge directly in exercises and real-world data scenarios.
In the online modules, you’ll learn step-by-step how to work with R, RStudio, scripts, objects, functions, and datasets. You can go through the material at your own pace and review sections as needed. This makes the blended learning program suitable for participants with little or no programming experience.
During the hands-on sessions, you’ll work on assignments where you import, process, analyze, and visualize data. You’ll receive guidance from experienced instructors and learn how to resolve error messages, structure code clearly, and make analyses reproducible.
The combination of online course materials, practical assignments, and personal guidance ensures that you develop a solid foundation in programming. After completing this blended learning program, you will be able to use R effectively for data analysis, reporting, automation, and further specialization within Geo-ICT.
You’ll receive 1-on-1 guidance. After signing up, our course coordinator will contact you to schedule your first session.
Do you have questions about the course content? Or are you unsure whether the course aligns with your learning goals or preferences? Would you prefer an in-house or private course? We’d be happy to help.
No, this blended learning course is actually designed as an introductory course. Participants learn how to use R and RStudio step by step. Basic computer and data skills are all you need to get started.
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Both R and Python are powerful programming languages for data analysis and automation. However, R is particularly strong in statistics, data visualization, and reproducible research. In addition, R has a large ecosystem of specialized packages for statistical analysis, reporting, and geographic data analysis, making it widely used in research, GIS, and data science.
R is used for data analysis, dashboards, statistics, Geo-ICT, automation, reporting, and data visualization. In the field of Geo-ICT, for example, R is used for spatial analysis, geographic visualizations, remote sensing, monitoring, and the processing of geographic datasets.
Yes, during the blended learning program, you’ll work with hands-on exercises and datasets. This means you’ll not only learn the theory, but also apply R directly in realistic analysis and data scenarios.
After completing this blended learning course, you can continue to develop your skills in areas such as R Spatial, GeoAI, remote sensing, statistical analysis, or data science. The training provides a solid foundation for more advanced applications of R in Geo-ICT and data analysis.
