Data science has altered decision making in many business scenes, from tech companies to financial institutions. This course provides fundamental statistical knowledge and practice, essential to data science in modern business enterprise. Examples are drawn from economics, finance, revenue management, pricing strategies, supply chain management, marketing, accounting, and more. Microsoft Excel (desktop version) will be used to aid calculation. The course is largely divided into three parts: (1) probability theory for decision making, (2) statistical tools to learn from data, and (3) linear regression for prediction.
