Data Analysis with R Course
Master data analysis with R for real tech problems. Clean data, engineer features, run statistical tests, build logistic models, and create clear visualizations and reports that drive product decisions and measurable business impact.

from 4 to 360h 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 visualizations. 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
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