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 11 results
This is a two day course on advanced R programming concepts. The course will be a mixture of lectures and computer practicals. The main focus of the course is advanced R programming techniques, such as S3/S4 objects, reference classes and function closures.
Automated reporting with R$280.00
Using Rmarkdown and knitr, create interative, automated reports.
Data Science with R: Data Analysis and Visualization$2,190.00
This course is a 35-hour program designed to provide a comprehensive introduction to R.
Data Science with R: Machine Learning$2,990.00
This 35-hour course introduces both the theoretical foundation of machine learning algorithms as well as their practical applications of machine learning techniques in R
Deposit Only – Data Science Bootcamp: Intensive 12-week$16,000.00
This 12 week bootcamp will give a full data science introduction
Introduction to R$200.00
This is a one day intensive course on R. This course will be a mixture of lectures and computer based practical sessions. The main focus of the course is to introduce fundamental R concepts.
Introduction to R: ETH Zurich$1,200.00
The course starts with an introduction to working with the R system, data import, basic data manipulation, and data visualisation.
This is a two day intensive course on using the R programming language for predictive analytics. The course covers cutting edge statistical predictive algorithms.
Programming with R$210.00
This is a one day intensive course on R. The course will be a mixture of lectures and computer practicals. The main focus of the course is R programming techniques, such as functions, for loops and conditional expressions.
Spatial data analysis with R$280.00
As spatial datasets get larger more sophisticated software needs to be harnessed for their analysis. R is now a widely used open source software platform for working with spatial data thanks to its powerful analysis and visualisation packages. This course introduces the basics of how R can be used for spatial data. No previous experience of computer programming is required but participants would benefit from some experience of GIS and spatial data formats and concepts.