R Language Course
This course provides a comprehensive introduction to R programming for data analysis, focusing on practical skills for data cleaning, visualization, cohort analysis, revenue metrics, and predictive modeling to support data-driven decision-making in product analytics.

4 to 360 hours flexible workload
valid certificate in your country
What will I learn?
Master R with a focused, hands-on course that takes you from clean data to actionable insights. Learn robust data ingestion, validation, and transformation, then explore behaviour, revenue, and feature usage with tidyverse and ggplot2. Build cohorts, compute retention, and identify high-value users. Finally, apply predictive models, clustering, and reproducible workflows to drive clear, data-informed decisions.
Elevify advantages
Develop skills
- Build predictive models in R: fast logistic, tree, and clustering workflows.
- Clean and validate event data in R: robust ETL, sessionisation, and QA checks.
- Run cohort and retention analysis in R: churn, survival curves, and heatmaps.
- Analyse revenue and high-value users in R: ARPU, segments, and long-tail spend.
- Create insightful R visualisations: tidyverse + ggplot2 for clear product analytics.
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 got the one-year package and finally have the chance to follow a range of topics I'm interested in without having to switch platforms... thank you for everything you do, I've already recommended you to others...

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

Mariana FerresPhotography Student
I like the content and the way the videos are presented and transcribed, which speeds up the process!

Luciana AlvarengaNail Design Student
The platform is fast and easy to use. The variety of content and the extra videos really help with learning.

Giulio CarloPrompt Engineering Student
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