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.