R Programming Language

R is a programming language and software environment for statistical computing and graphics that is widely used among statisticians and data miners. It is free and open-source software under the GNU General Public License.

R external tutorials

Awesome R tutorials and guides from all over the Internet.

  • DataCamp R Programming CourseLevel: Beginner. By: DataCamp. Duration: 4 hours.Introduction to R programming language and data analysis, including data manipulation and visualization.
  • Geocomputation with RLevel: Intermediate. By: Robin Lovelace, Jakub Nowosad, Jannes Muenchow. An online book on R programming language for geographic data analysis and visualization, covering spatial data import, processing, and mapping using sf and ggplot2 packages.
  • Machine Learning with RLevel: Intermediate. By: Bryan P. Mills. Duration: 22 hours.A course on machine learning algorithms and techniques implemented in R, including regression, classification, clustering, and dimensionality reduction.
  • R for Data ScienceLevel: Intermediate. By: Hadley Wickham, Garrett Grolemund. Duration: 15+ hours.A comprehensive guide to R programming for data science, including data wrangling, data visualization, and statistical modeling.
  • R Graphics Cookbook, 2nd editionLevel: Intermediate. By: Winston Chang. A comprehensive guide to creating visualizations in R programming using ggplot2, covering various chart types and customization options.
  • R Programming: Advanced Analytics In R For Data ScienceLevel: Intermediate. By: Kirill Eremenko, SuperDataScience Team. Duration: 14 hours.A course on advanced analytics techniques in R programming for data science, including linear regression, logistic regression, decision trees, and clustering.
  • R Programming A-Z™: R For Data Science With Real Exercises!Level: Beginner. By: Kirill Eremenko, SuperDataScience Team. Duration: 28 hours.A comprehensive course on R programming for data science, covering data visualization, data preprocessing, statistical modeling, and machine learning.
  • R Programming: Fundamentals to AdvancedLevel: Intermediate. Duration: 25 hours.A course on R programming language, covering basic syntax, data analysis, data visualization, and advanced statistical modeling techniques.
  • R Tutorial for BeginnersLevel: Beginner. By: Simplilearn. Duration: 5 hours.A beginner-level tutorial covering R programming language basics, data types, data structures, functions, and loops.
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