R ExamplesLesson 37Free preview

R Syllabus

This lesson is part of R · All levels

Summary

This lesson outlines the complete syllabus and roadmap for learning the R programming language. It ranges from basic syntax and primitive data structures, to techniques for manipulating tables with modern ecosystems (such as dplyr), advanced visualization (ggplot2), to regression modeling and statistical machine learning.

Key points

A complete curriculum map includes language basics, data manipulation, and visualization
It involves mastery of modern data science packages within the Tidyverse ecosystem
Preparing developers for statistical, econometric, and bioinformatics modeling
Become a structured self-learning guide for beginners and data science professionals

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