The data science industry is growing quickly as more companies rely on the use of large amounts of data. Data science is all about extracting knowledge from data and is changing how companies approach business intelligence. At the center of the expansion of data science hiring is the programming language R. Started in 1993 in New Zealand by two professors who wanted a better statistical programming language for their students, it’s open source foundation has allowed it to be adopted by universities around the world. Sharing your own R implementations is easy through the Comprehensive R Archive Network (CRAN) which features more than 6,100 packages from R contributors, this factor has made it easy for nearly anyone to contribute back to the tool they use.
Widespread academic use quickly carried over into private industry; today, companies like Google, Ford, Twitter, and more rely on R. The combination of limited data scientist resources with the widespread adoption of R has made it one of the most important languages in data science.
