R Language Course
Master R for real-world tech analytics: clean and validate data, run cohort and revenue analysis, build predictive models and segments with tidyverse, caret, and ggplot2, and turn user behavior into clear, actionable product and growth insights.

from 4 to 360h 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 behavior, 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, sessionization, and QA checks.
- Run cohort and retention analysis in R: churn, survival curves, and heatmaps.
- Analyze revenue and high-value users in R: ARPU, segments, and long-tail spend.
- Create insightful R visualizations: tidyverse + ggplot2 for clear product analytics.
Suggested summary
Before starting, you can change the chapters and workload. Choose which chapter to start with. Add or remove chapters. Increase or decrease the course workload.What our students say
As suas aulas são perfeitas. Adquiri o pacote de um ano e, finalmente, tenho a oportunidade de acompanhar diversos temas do meu interesse sem precisar mudar de plataforma... agradeço por tudo o que fazem, já recomendei vocês a outras pessoas...

Giulio CarloAluno de Marketing Digital
Eu gosto de como as lições são direto ao ponto e como eu consigo alterar capítulos e pular conteúdos que não preciso.

Mariana FerresAluna de Fotografia
Gosto do conteúdo e do modo de apresentação e transcrição de vídeos, o que acelera o processo!

Luciana AlvarengaAluna de Design de Unhas
A plataforma é rápida, simples de usar. A diversidade de conteúdo e os vídeos complementares ajudam muito no aprendizado.

Giulio CarloAluno de Engenharia de Prompt
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