R is a language and environment for statistical computing and design. Around the world, millions of analysts and data researchers use R in the fields running from computational science to extensive marketing. It can be easily used on any operating system as it is platform independent. R is free and open source.
R Programming, or R, has turned into the most prevalent language for data science and a fundamental tool for Finance and analytics-driven organizations, for example, Google, Facebook, and LinkedIn.
R Programming is the best mechanism for statistics, data analysis, and machine learning. In a data-driven economy, this combination of skills is in extremely high demand. A 2016 KDNuggets software poll had R as the most popular language with a 49% market share. Data Science professionals in R also seem to be paid higher than their counterparts proficient in other tools.
In this course you will learn the R programming language, and get hands on experience in transforming data using machine learning intelligence to provide actionable insights. You will also gain valuable hands on experience in presenting and communicating your results in the form of a Shiny app or Dashboard.
