The last few months have seen a flurry of activity in terms of new courses being created for the R programming language.
Udemyis one such online venue that provides a surprisingly broad array of topics related to the R language. These topics include statistical analysis, regression, data science, machine learning, quantitative trading, data visualization and more.
As an adjunct instructor in the quantitative finance field, I find it hard to cover all the important/basic concepts prior to moving on to the more interesting/advanced uses of the R programming language.
The following courses provide a nice introduction to some of the basic and even intermediate principles that I deem important.
The basics R courses:
These courses talk about the basic programming constructs of R and also introduce some
topics in the field of data science.
Visualization with R:
The ggplot2 package is one of the best graphical libraries available in the R language. It makes use of the grammar of graphics paradigm and is highly recommended as a default plotting package.
Business Analytics in R:
These courses focus on applying the R suite of tools to business specific analytics problems.
Intermediate R courses:
Advanced R courses: