Master R programming for data analysis and statistics. Learn to manipulate data with tidyverse, create visualizations with ggplot2, and perform statistical analysis.
Learn the basics of R programming from scratch. Master variables, vectors, control flow, functions, data structures, strings, dates, and error handling.
A beginner-friendly introduction to data frames, the cornerstone of data analysis in R. Learn to create, inspect, subset, and modify tabular data.
Learn the essential tools and concepts of the tidyverse for modern data science in R. Master the pipe, dplyr verbs, and grouped summaries.
Master the art of data visualization in R. Learn to build beautiful, informative plots from scratch using the Grammar of Graphics.
A practical introduction to the fundamental concepts of statistical analysis in R, from descriptive summaries to hypothesis testing and linear models.
Go beyond the basics to write more efficient, readable, and powerful R code. This course covers advanced data manipulation, functional programming, and data reshaping.