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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Manning PublicationsTraining a Support Vector Machine in R with mlr 2 Parts
2:00:09
English subtitles
10/23/2023
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Pluralsight
Janani Ravi
Applying Differential Equations and Inverse Models with R 2:23:22
English subtitles
10/09/2023
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Udemy
Abdul Rehman Ikram
Advanced Bioinformatics Data Analysis: Python, R, and Linux 9:16:26
10/07/2023
