R- Programming is basically a programming language used in data science to do the right data analysis, data visualization and data mining to take the right business decisions in the right direction.
R-Programming is basically defined as the programming language in data science that deals with the fundamentals of data manipulation, data visualization and many other advanced topics like regression and data mining. Data Science is going to be the future of every business decisions, on the basis of the predictions of the old data, new business decisions are needed to be made. Today in this data-driven world it is going to be the oil for every business decision. As a result of which R- Programming skilled professionals are in great demand, the corporates are hunting out for highly skilled professionals. Due to which the demand for R Programming Certification has also increased over the past few years. From Software Engineers to Data Analysts to Business Intelligence professionals everyone should have the skill of R-Programming. Thus R- Programming will give you the flexibility to make the business decisions easily and get a better output. R- Programming tutorial will help you to learn more about the fundamentals of the business decisions and which enables more credibility.
Learn the fundamentals of R markdown in this in-depth tutorial, or simply use it as a quick reference guide and cheatsheet for R markdown formatting.In this blog post, we’ll look at how to use R Markdown. By the end, you’ll have the skills you need to produce a document or presentation using R Mardown, from scratch!
Data types are kept easy. Data types of R are quite different when we compare with other programming languages. Here, we’ll outline the data types of R.
Make your R data analysis beautiful and your R programming workflow smoother with these tips, tricks, and shortcuts that'll turn you into an R markdown pro!
Data Visualization in R with ggplot2: A Beginner Tutorial. Learn to visualize your data using R and ggplot2 in this beginner-friendly tutorial that walks you through building a chart for data analysis.
Learn how to load a data set and clean it using R programming and tidyverse tools in this free beginner-level data analysis tutorial.