The course is an introduction to exploring and modeling large amounts of data to uncover previously unknown patterns. It includes the process of formulating, developing, analyzing and interpreting models for the purpose of visualizing and communicating information for problem-solving and decision-making in areas such as finance, operations, marketing, retail, health care, insurance, supply chain networks, etc. Topics include: regression scenario analysis; decision making analysis; optimization and linear programming; forecasting models; sensitivity analysis; scenario analysis; project management; and others.