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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Abdul Rehman Ikram
Bioinformatics Data Analysis: Master Python, R and Linux 12:07:49
04/15/2024
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Start-Tech Academy
Image Recognition for Beginners using CNN in R Studio 6:33:16
English subtitles
03/31/2024
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EDUCBA Bridging the Gap
Deep Learning: Neural Networks and Heuristics with R 6:10:33
03/27/2024
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Mammoth Interactive
Beginners R Programming: Data Science and Machine Learning! 5:14:00
English subtitles
03/14/2024
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UdemyEffective Date, String & Categorical Data Manipulation in R
4:12:49
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03/04/2024
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Udemy
Soumyajit Halder
RStudio Bootcamp- for Data Management, Statistics & graphics 12:38:36
English subtitles
02/27/2024
