Data can be messy. Regular expressions (RegEx for short) provide a powerful way to perform pattern matching and wrangle in that messy data! For example, what if you needed to standardize U.S. phone numbers to the (000) 000-0000 format, but you have phone numbers separated by dashes, by spaces, by parentheses, or some combination of all those delimiters… how would you go about it? With regular expressions, it’s easy! Join JHU Data Services for a gentle interactive introduction to regular expressions, and learn a powerful new skill.