Data is now everywhere, in every field. In order for students to be competitive in the ever-data-dependent job market, they need to have basic skills associated with collecting and interpreting data. This can take many different forms at different institutions, from Data Science courses to Statistics to Computer Science and Computational Chemistry. Mathematics Departments are often tasked with building new courses to bolster both evolving general education programs and major-level courses supporting the modern interests of applied students. This session is focused on how different departments have faced this challenge to give faculty ideas of how they might also join the effort to equip students with data literacy skills.