Data Analysis with R Course
This course provides hands-on training in data analysis using R, covering data import, cleaning, visualization, statistical testing, logistic regression modeling, and reproducible reporting to deliver actionable insights.

4 to 360 hours flexible workload
valid certificate in your country
What will I learn?
Master practical data analysis with R in a compact, results-focused course. Learn to import, clean, and transform real datasets, engineer useful features, and explore patterns with clear visualisations. Build and evaluate logistic regression models, run statistical tests, and interpret effect sizes. Finish by creating reproducible reports and actionable recommendations your stakeholders can trust and implement quickly.
Elevify advantages
Develop skills
- R data wrangling: clean, validate, and structure real-world tech datasets fast.
- Exploratory charts in R: build clear, insightful visuals with ggplot2 in minutes.
- Statistical testing in R: choose and run the right tests for solid product decisions.
- Logistic models in R: predict churn and conversion with interpretable, tuned models.
- Reproducible R reporting: ship clean code, plain-text reports, and actionable 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 lessons are perfect. I purchased the one-year package and finally have the opportunity to follow various topics of interest without needing to change platforms... I'm grateful 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 I don't need.

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

Luciana AlvarengaNail Design Student
The platform is fast and simple to use. The diversity of content and complementary videos really help with learning.

André FelipePrompt Engineering Student
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