R Course Finder
Find an R course quickly, using the filters on the right.
Disclaimer: the links to some courses in our directory are affiliate links. If you sign up for a course using these links, R-exercises earns a commission. It does not impact what you pay for a course, and helps us to keep R-exercises free.
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 56 results
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Sale!
Automating Data Exploration with R
$25.00$11.99Build the tools needed to quickly turn data into model-ready data sets
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A Hands-on Introduction to Statistics with R
$0.00This selection of courses is designed to be a comprehensive yet friendly introduction to fundamental concepts in statistics.
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Analyzing Big Data in R using Apache Spark
$0.00Learn why R is a popular statistical programming language with a number of extensions that support data processing and machine learning tasks.
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Sale!
Beginner to Advanced Guide on Machine Learning with R Tool
$200.00$11.99Learn Machine Learning with the help of R programming
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Beginning Data Visualization with R
$25.00Learn how to create and interpret basic data visualization using the programming language R.
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Big Data: Statistical Inference and Machine Learning
$0.00Learn how to apply selected statistical and machine learning techniques and tools to analyse big data.
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Cleaning Data in R
$25.00It’s commonly said that data scientists spend 80% of their time cleaning and manipulating data and only 20% of their time actually analyzing it
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Clustering and Finding Patterns
$20.00Find latent patterns in different types of data from customer purchases to staff performance
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Code Clinic: R
$0.00Explore solutions to common R programming challenges, and then compare the results with other programming languages in the Code Clinic series.
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Creating Interactive Presentations with Shiny and R
$200.00Analyzing 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.
