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 47 results
Advanced R Programming€ 44.50
This course covers advanced topics in R programming that are necessary for developing powerful, robust, and reusable data science tools.
Automating Data Exploration with R
Build the tools needed to quickly turn data into model-ready data sets
[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
A complete journey to web analytics using R tool
Analyze your website behavior using R tool
Bayesian R€ 524.21
After taking this online course, “Bayesian Statistics in R” you will be able to install and run rjags, a program for Bayesian analysis within R.
Biostatistics in R with Clinical Trial Applications€ 524.21
This online course, “Biostatistics in R: Clinical Trial Applications” covers the implementation in R of statistical procedures important for the clinical trial statistician.
Bond Valuation and Analysis in R€ 17.80
Why value bonds? Bonds are securities issued by governments or corporations that pay interest over a fixed schedule and are the most well-known type of fixed income securities.
Building R Packages€ 0.00
This course covers the primary means by which R software is organized and distributed to others. We cover R package development, writing good documentation and vignettes, writing robust software, cross-platform development, continuous integration tools, and distributing packages via CRAN and GitHub. Learners will produce R packages that satisfy the criteria for submission to CRAN.
Building R Packages€ 44.50
This course covers the primary means by which R software is organized and distributed to others.
Business Analytics Using Forecasting€ 0.00
Learn a scientific and practical approach for creating and evaluating forecasting solutions.