Computational Math and Statistics

Catalog description

Deeper math literacy and computational thinking are essential for deeper data literacy. Probability, statistics, and mathematics especially fundamental linear algebra are critical to the success of data analysts as they implement increasingly complex solutions. This course is designed to give the non-mathematician practice using mathematical and statistical computational methods in the service of data analytic solutions.