Forecasting and Forensic Analytics, Fall 2018
This course explores how data can be used to solve accounting problems across financial accounting, managerial accounting, and audit contexts. Students will gain exposure to techniques to explore how financial and non-financial data is used to forecast events, detect financial discrepancies and frauds, predict corporate default, optimize operations, and determine business strategy. The emphasis of this class will be on problem solving, theory, and application, with additional emphasis on interpretation and communication. Some programming will be required, but programming help will be provided at the start of the semester via online tutorial and through instructor-provided code. Some advanced analytics methods such as text analytics, neural networks and deep learning will also be introduced. This course has been designed to equip students with an analytics mind-set to develop analytics strategies and make better business decisions.
This class is partnered with Datacamp. For a list of required and recommended Datacamp classes, see this link.
