R Coding Course
This course provides hands-on training in R programming for data analysis, covering data cleaning, visualization, and statistical basics to enable confident handling of real-world datasets.

flexible workload of 4 to 360h
valid certificate in your country
What will I learn?
This R Coding Course equips you with practical skills to examine, tidy, and analyse real datasets confidently. You will learn to spot missing values, correct data types, organise reproducible projects, and work efficiently with pipes and dplyr. Create clear visualisations using ggplot2, perform basic statistics, handle CSV imports and exports, and present results in simple language for quick, dependable decision-making.
Elevify advantages
Develop skills
- Examine R data like a pro: spot NAs, types, outliers, and structure swiftly.
- Build tidy R workflows: pipes, dplyr, clean projects, and reproducible scripts.
- Visualise data quickly with ggplot2: clear histograms, boxplots, and scatterplots.
- Import and store CSV business data reliably, even at scale and with messy formats.
- Clean and transform data in R: fix types, strings, factors, and create smart features.
Suggested summary
Before starting, you can change the chapters and the workload. Choose which chapter to start with. Add or remove chapters. Increase or decrease the course workload.What our students say
Your classes are perfect. I purchased the one-year package and finally have the opportunity to follow various topics of my interest without needing to change platforms... I thank you for everything you do, I've already recommended you to other people...

Giulio CarloDigital Marketing Student
I like how the lessons are straight to the point and how I can change chapters and skip content that I don't need.

Mariana FerresPhotography Student
I like the content and the way of presentation and video transcription, which speeds up the process!

Luciana AlvarengaNail Design Student
The platform is fast, simple to use. The diversity of content and complementary videos help a lot in learning.

André FelipePrompt Engineering Student
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