R+ Course
This course teaches advanced R programming for data analysis in delivery logistics, covering dataset creation, performance optimization, toolkit design, KPI implementation, and functional programming for scalable workflows.

4 to 360h flexible workload
certificate valid in your country
What will I learn?
R+ Course shows you how to build realistic delivery datasets, clean and validate records, and generate reproducible samples for analysis. You will optimize performance with data.table, vectorization, Rcpp, and profiling tools, then apply functional programming, tidy evaluation, and robust error handling to create reusable metrics, reporting workflows, and well-structured S3/S4 toolkits for reliable, scalable projects.
Elevify advantages
Develop skills
- Build realistic delivery datasets in R: synthetic records, checks, and cleaning.
- Optimize R code fast with data.table, Rcpp, profiling, and vectorization.
- Design robust R toolkits using S3/S4 classes, NSE, and tidy evaluation.
- Implement reusable delivery KPIs and city summaries with clear plots and reports.
- Apply functional programming in R for safe, testable, production-ready workflows.
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 are saying
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 extra videos really help with learning.

Giulio CarloPrompt Engineering Student
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