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Boost employee productivity with R Programming
R is actually a programming environment and language made specifically for graphical applications and statistical computations. It is very useful in the field of statistical computation and data science. It offers various techniques like clustering, time-series analysis, and classification technique, nonlinear/linear modelling, and classical statistical tests. Also, this language is very adaptable and extensible.
R is a very unique language and has some really interesting features which aren’t present in other languages. These features are very important for data science applications and data scientists.
Why is R Programming Important?
Some Features of R Programming
Certified R Programmer for Data Science Certification
With our Certified R Programmer for Data Science Certification, you will gain knowledge on how to gather data, and what you can do with it, starting from reading and cleansing, to manipulation and visualisation.
You will also be exposed to a wide range of topics including Big Data and data analytics lifecycle, exploratory data analysis, and Shiny R package.