By 2027, it is predicted that the worldwide big data industry will have increased to $103 billion, doubling its anticipated size in 2018. Or, to put it another way, big data is big business. Companies worldwide are struggling with a lack of trained data experts despite the rising demand. The difficulty businesses have finding data scientists with the right skill set is one of the factors contributing to the shortage. That is no surprise, given that data scientists are experts with various skills that a single person rarely possesses. Data scientists are frequently referred to as “unicorns” because of this. R Programming R is the queen of data science if Python is the king. R is an open-source programming language created in 1992 primarily for statistical and computer analysis. R enables you to carry out a variety of data analytics, and it is widely used in scientific research, academia, and industries like banking and business. This is primarily because of the Comprehensive R Archive Network’s extensive library of data science packages (CRAN). One of the most well-liked groups of data science tools in R is called tidyverse, which includes some of the most well-known libraries of R, including tidyr and […] read more