Students learn the steps in the business analytics model cycle including transforming a business problem into an analytics problem, collecting and preparing data for analysis, building an analytic model and deployment. Students use software for data preparation and analysis. Prerequisite: Post-secondary education in a field related to computer science or mathematics is recommended. Alternatively, students would benefit from a basic understanding of programming concepts and linear algebra. NOTE: This course uses Linkedin Resources. No Textbook Required.