R Course Finder
Find an R course quickly, using the filters on the right.
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Note: Prices shown for all paid courses on DataCamp platform are monthly subscriptions, which give full access to all courses on this platform.
Showing 1–10 of 26 results
[Intermediate] Spatial Data Analysis with R, QGIS & More
Become an Open source GIS Guru and Tackle Spatial Data Analysis Using R, QGIS, GRASS & GOOGLE EARTH
Beginning Data Visualization with R$25.00
Learn how to create and interpret basic data visualization using the programming language R.
Building Data Visualization Tools$50.00
Visualization remains one of the most powerful ways draw conclusions from data, but the influx of new data types requires the development of new visualization techniques and building blocks. This course provides you with the skills for creating those new visualization building blocks.
Comprehensive Graphic Visualizations with R
Learn the important features of the base, ggplot and lattice (“trellis”) graphical capabilities in R
Create Interactive Web Applications with the R Shiny Package
Learn to create your own sophisticated Shiny applications by practicing with dozens of detailed Shiny Examples !
Creating Interactive Presentations with Shiny and R$200.00
Analyzing big data is great, but not if you can’t share your results. In this course, Martin Hadley shows how to create interactive presentations of large data sets with R, RStudio, and Shiny, an R-based tool for producing interactive, web-ready data visualizations.
Data Science Certification Training – R Programming$400.00
Become an expert in the various data analytics techniques using R.
Data Visualization in R$25.00
R supports four different graphics systems: base graphics, grid graphics, lattice graphics, and ggplot2.
Data Visualization with ggplot2 (Part 1)$25.00
In this chapter we’ll get you into the right frame of mind for developing meaningful visualizations with R.
Data Visualization with ggplot2 (Part 2)$25.00
This ggplot2 tutorial builds on your knowledge from the first course to produce meaningful explanatory plots.