SAS (Statistical Analysis System) is something of a veteran in the data analysis world. Developed in the 1970s, it has since become a staple in industries where precision and regulatory compliance are critical - think pharmaceuticals, banking, and the public sector. With its distinctive combination of DATA steps, PROCs, and macro language, SAS provides a structured and powerful environment for managing, analyzing, and reporting data.

What makes SAS particularly notable is its ability to handle very large datasets efficiently. There is also a rich ecosystem of tools and interfaces, such as SAS Studio and SAS Viya, enabling work both through code and graphical user interfaces. For those curious to learn, there are plenty of resources available, including free online courses and comprehensive documentation.

So even if SAS may not be the first language that comes to mind in today’s hyped-up tech world, it remains a heavyweight for serious data analysis.