Learning Path

R for Statistical Computing and Data Analysis

R and RStudio Setup → Reproducible Reporting with RMarkdown

10 Knowledge Nodes · 10 Learning Steps · v0 Active

This learning path guides students through the essentials of R for data science, from basic programming concepts to data manipulation with dplyr and tidyr, visualization with ggplot2, reproducible reporting with RMarkdown, and fundamental statistical functions. It is designed for university students who prefer R and want a systematic introduction.

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Learning Route

10 learning steps · 3 phases. Click any step to inspect it and see it on the Knowledge Map.

Phase 1

Foundation

4 steps

Phase 2

Core Concepts

3 steps

Phase 3

Advanced Topics

3 steps