Learn R programming through practical exercises designed for data exploration, analysis, and visualisation.
Description
Welcome to Programming A-Z—your practical introduction to R programming for data science.
This course introduces the R language step by step. You will learn how to write basic code, work with datasets, perform calculations, create charts, and communicate useful insights from data.
- R programming basics – Learn the R environment, variables, data types, operators, functions, and simple programming logic.
- Data analysis with R – Work with tables, vectors, data frames, and datasets to organise and analyse information.
- Visualisation and practical exercises – Create clear charts and complete practical exercises to strengthen your skills.
What you will learn
- Understand the R programming environment
- Write and run basic R code
- Work with variables, vectors, and data types
- Use functions and basic programming logic
- Import and organise datasets
- Work with data frames and tables
- Clean and prepare data for analysis
- Perform simple statistical calculations
- Create charts and data visualisations
- Complete practical exercises using R
Requirements
- No previous R programming experience is required.
- Basic computer skills and an interest in working with data.
- A computer with internet access and permission to install software.
Who this course is for
- Beginners who want to learn R programming
- Students interested in data science and analytics
- Professionals who want to develop data-analysis skills
- Anyone looking for a practical introduction to R
