R Course
This course equips you with practical R skills for analyzing SaaS product data, focusing on data cleaning, visualization, statistical analysis, and churn prediction to drive informed product decisions.

4 to 360 hours of flexible workload
certificate valid in your country
What Will I Learn?
This R Course teaches you how to clean, transform, and analyse real product usage data using tidyverse, dplyr, and ggplot2. You will create reproducible workflows, manage missing values, generate user-level summaries, and perform statistical tests and logistic regression for churn prediction. Learn to craft clear visualisations and write succinct, straightforward insights that support practical, data-driven product decisions.
Elevify Advantages
Develop Skills
- R data wrangling: build tidy dplyr pipelines for SaaS user and revenue data.
- Churn modelling: run and interpret logistic regression with R for tech products.
- Data cleaning in R: fix missing, outliers, and types for reliable SaaS analytics.
- ggplot2 dashboards: design clear churn, revenue, and usage visuals in minutes.
- Statistical testing: apply nonparametric and chi-squared tests for product insights.
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 several 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 supplementary videos really help with learning.

Giulio CarloPrompt Engineering Student
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