Learn R!

1289 R courses are available from Pluralsight, Edx, Udemy, Datacamp, Packt, Coursera, Lynda and Stone River.

R is a programming language and free software environment for statistical computing and graphics supported by the R Foundation for Statistical Computing. The R language is widely used among statisticians and data miners for developing statistical software and data analysis. Polls, data mining surveys, and studies of scholarly literature databases show substantial increases in popularity; as of January 2020, R ranks 18th in the TIOBE index, a measure of popularity of programming languages. A GNU package, source code for the R software environment is written primarily in C, Fortran, and R itself and is freely available under the GNU General Public License. Pre-compiled binary versions are provided for various operating systems. Although R has a command line interface, there are several graphical user interfaces, such as RStudio, an integrated development environment. - read more on Wikipedia

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  • student Intermediate
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Applying Linear Algebra with R

Take this course if you want to dive into the math behind regression^ principal component analysis^ and other machine learning topics. The course is in R and is mathematically intense^ but the topics can be implemented in any programming language.

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  • student Intermediate
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  • clock 2h 20m

Applying the Mathematical MASS Model with R

This course focuses on capabilities^ models^ and datasets available within the MASS package in R. Along the way^ you will gain knowledge of estimating survival probabilities and working with hazard rates in multi-state model.

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  • student Expert
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  • clock 1h 35m

Creating Special-purpose Plots: R Playbook

R has amazing visualization capabilities in numerous libraries. In this course^ you will learn how to create visualizations with maps^ correlograms^ and 3D scatter plots in the Leaflet^ Corrgram^ Lattice^ and Scatter3d libraries.

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  • student Beginner
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  • clock 34m

Creating Visualizations Using Base R Graphics

This course will teach you how to create customized visualizations for datasets in R. Learn how to create meaningful graphs that will make an impact quickly in businesses and organizations.

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  • student Intermediate
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  • clock 2h 2m

Exploring Data with Quantitative Techniques Using R

Data exploration is one of the first things you do when analyzing data. It leads the way to further in depth analysis. With this course^ you will learn how to use R for data exploration of a large dataset.

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  • student Beginner
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  • clock 1h 33m

Finding Relationships in Data with R

R is a widely-used programming language specifically within the data science field. This course will teach you the basics of finding relationships in data using R^ including discovering relationships^ calculating correlation and visualizing matrices.

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  • student Beginner
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  • clock 1h 15m

Importing Common Data File Formats: R Playbook

Whether the common CSV or Excel file^ or files from specialized statistical applications^ R allows you to import data from a variety of sources. This course will show you how to import data from a variety of formats into R …

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  • student Beginner
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  • clock 1h 16m

Importing Formatted Text Files: R Playbook

R is a widely used programming language for statistical computing. This course will teach you the fundamentals of understanding how to import formatted text files within R.

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  • student Intermediate
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  • clock 2h 1m

Managing Data in R Using Data Frames

Learn how to use and reshape data frames in R. The course also covers common alternatives to the data frame like tibble and data table.

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  • student Beginner
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  • clock 1h 24m

Manipulating Dataframes in R

People coming from spreadsheets are blown away with how easy and powerful it is to manipulate tabular data with R. In this course^ you will learn the fundamental building blocks of how to work with the R data frame.

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  • student Intermediate
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  • clock 2h 1m

Manipulating String Data in R

Learn how to work on string data in R. Use the best add on packages and perform sentiment analysis on large texts.

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  • student Beginner
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  • clock 1h 28m

Merging Data Sources with R

Learn how to merge data with R. How do you merge values into vectors? How do you merge vectors into data frames? How do you join data frames? See how to use base R and dplyr to do left^ right^ …

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