In-Draft

Learn R

#Begginer

A free 5 hours online self-paced course on introductory R topics, including basic commands, data frames, reading files, and working with strings. You may repeat the course as many times as needed.

Data Visualization in R

#Intermediate

You will learn about the basic visualizations, including bar charts, histograms, and pie charts. You will also learn about the specialized visualizations, including word clouds and radar charts.

Machine Learning with R

#Intermediate

The course topics are the differences between supervised and unsupervised learning, the supervised and unsupervised methods, dimensionality reduction, and collaborative filtering.

Introduction to R

#Begginer

Free datacamp class. This 4 hours self-paced interactive tutorial covers variables, arithmetic and logical operators, factors, vectors, matrices, dataframes, lists and more. You may need a free DataCamp account to enroll.

Free R Tutorial

From Tutorialsploit the covered topics include R language overview and syntax, R environment setup, datatypes, loading data, data visualization, and statistical analysis and methods, including linear regression, and decision tree classification.

Jupyter And R Notebook

RStudio Support: RStudio documentation articles

R FAQ: Answers to frequent R questions

RStudioTips.pdf: An overview of RStudio menus and user interface options.

Data Mining with R Reference Card: Key R commands for running the data mining with methods, working with packages, and visualizing and manipulating data.

Data Mining with R Reference Card - Ricky Ho.pdf: This reference card has a brief summary of the classification and prediction methods, including the R commands. Some methods could have more than one implementation.

R Quick Reference: Reference card with R commands for working with variables, control flow, accessing help pages, and statistical analysis.

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