Introduction to Programming with R

This beginner path introduces R syntax, strings, numeric operations, vectors, conditionals, and essential statistical functions. You will then learn to create and work with data frames, a foundational structure for data analysis in R.

As you progress, you will use dplyr to filter, select, transform, and summarize data, then apply tidyr to reshape datasets, manage missing values, and create tidy data. You will also build and customize visualizations with ggplot2 to communicate patterns and insights.

This path is designed for learners who are new to R and want practical skills for data analysis, statistics, or data science.

Syllabus

Write basic R programs using common syntax, data types, vectors, and conditionals
Create, access, and modify data frames
Filter, select, transform, and summarize data with dplyr
Build efficient data manipulation pipelines
Reshape datasets and manage missing values with tidyr
Create and customize data visualizations with ggplot2