About R ProgrammingLearn More
R is a free software and programming language created by Ross Ihaka and Robert Gentleman in 1993. R has an extensive catalog of statistical and graphical methods. This software includes machine learning algorithms, linear regression, time series and statistical inference. Most R libraries are written in R, but for computationally heavy tasks, C, C++, and Fortran code are preferred.
R is not only taught academically, but many large companies use the R programming language, including Uber, Google, Airbnb, Facebook, and more.
Data analysis using R is done through the following steps: programming, transformation, discovery, modeling, and communication.
Programming: R is a simple and accessible programming tool.
Transform: R is built from a set of libraries designed specifically for data science.
Discovery: Examine the data, refine your hypothesis, and analyze it.
Modeling: R provides a wide range of tools to build a suitable model of your data.
Communicate: Combine code, graphs, and output with R Markdown reports or build R Shiny apps to share with the world
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Udemy
Minerva Singh
Applied Statistical Modeling for Data Analysis in R 9:51:37
English subtitles
06/06/2024
Udemy
Desmond Otieno Onam
Mastering Data Science with R: From Beginner to Master. 29:50:13
05/07/2024
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Linkedin Learning
Megan Silvey
Complete Your First Project in R 2:14:36
English subtitles
05/06/2024
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Linkedin Learning
Barton Poulson
Complete Guide to R: Wrangling, Visualizing, and Modeling Data 8:15:38
English subtitles
04/27/2024
Udemy
Ridwan Adejumo Suleiman
Building Interactive Shiny Web Apps with R Programming 1:55:00
04/23/2024
