Discover how to turn raw data into clear insights with the R Programming Course at Geo-ICT. This hands-on course equips you with essential programming and statistical skills, helping you confidently work with data in fields like geoinformation, environmental analysis, market research, and more. Whether you're just getting started or want to sharpen your skills, you’ll learn to use R—one of the most popular tools in data science and scientific computing.
R Programming
R ProgrammingR Programming
R Programming
In today’s data-driven world, the ability to analyze, visualize, and interpret data has become a must-have skill. Whether in urban planning, environmental science, public health, or business intelligence, decisions increasingly rely on insights drawn from complex data.
That’s where R comes in. As a powerful, open-source programming language built for data analysis and statistics, R helps professionals explore trends, test hypotheses, and make informed decisions. Its flexibility, vast package ecosystem, and advanced visualization capabilities have made it a go-to tool across research, academia, and industry.
At Geo-ICT, we believe in bridging theory and practice. That’s why our R Programming Course not only teaches you how to use R—it also shows you how to apply it to real-world challenges. You’ll gain a strong foundation in data manipulation, statistical methods, and visual communication. By working with actual datasets and coding your own solutions, you’ll leave the course ready to put your new skills into action.
What will you learn
You’ll begin by learning the core principles of R, including how to import data, work with variables, and navigate RStudio—a user-friendly interface for writing and running R code. From there, you’ll dive into data wrangling, creating summary statistics, and producing visualizations that reveal key patterns in your data.
As the course progresses, you’ll explore core statistical techniques like hypothesis testing, linear regression, and analyzing categorical data. You’ll also learn how to write your own functions and scripts, manage RStudio projects, and work with R’s wide range of libraries to extend its functionality.
Later, you’ll explore advanced topics such as time series analysis, model selection, and an introduction to machine learning with R. We also cover spatial analysis—showing you how to read, plot, and work with geographic data using R’s spatial packages, a valuable skill for anyone working with maps or geoinformation.
By the end of the course, you’ll be equipped to handle everything from basic data cleaning to advanced analysis and visualization, all with confidence and clarity.
Why choose this course
At Geo-ICT, we combine expert teaching with real-world application to help you build practical, job-ready skills. Here’s what makes this course stand out:
- Expert instructors: Learn from professionals with hands-on experience in R, data science, and statistical analysis.
- Practice-oriented learning: Apply your knowledge through realistic exercises and small projects that reflect actual work scenarios.
- Flexible learning paths: Whether you’re just starting out or leveling up, the course is designed to meet you where you are.
- Career relevance: Gain a skillset that’s in demand across industries, from research and government to tech and consulting.
Course structure
Day 1
You’ll start with the essentials: installing R and RStudio, loading your first datasets, and performing simple operations. You’ll explore basic descriptive statistics, data filtering, and create your first plots to explore data visually.
Day 2
The second day covers advanced data handling. You’ll learn to work with tables, aggregate data, and manipulate it efficiently. You’ll also be introduced to object-oriented programming in R (S3/S4), learn how to deal with missing or special values, and begin writing your own scripts and custom functions using RStudio projects.
Day 3
The final day focuses on applied statistics and visualization. You’ll run and interpret regression models, perform hypothesis tests, and explore automated model selection techniques. You’ll deepen your knowledge of data visualization and learn how to create, customize, and interpret different types of plots. Finally you’ll also get hands-on with geospatial data—reading, mapping, and analyzing it using R’s spatial libraries.
Learning Outcomes
- Understand the core concepts of R programming and how to work effectively in RStudio
- Import, manage, and clean data from various sources
- Perform both basic and advanced statistical analyses in R
- Write your own functions and automate repetitive data tasks
- Create clear, insightful visualizations to support decision-making
- Read, analyze, and map geographic data using R’s spatial tools
More Information?
Do you have questions about the course content? Not sure if the course aligns with your learning objectives? Or would you prefer a private session or in-company training? We’re happy to assist—feel free to get in touch.
Frequently Asked Questions about R Programming
R is a programming language and software environment designed primarily for statistical computing, data analysis, and graphical visualization. It is widely used by statisticians, data scientists, and researchers for tasks involving large-scale data analysis and modeling. R was developed by Ross Ihaka and Robert Gentleman in the early 1990s and has become a cornerstone in data science.