Forecasting and Forensic Analytics, Fall 2019
This is the second iteration of this course exploring how data can be used to solve accounting problems across financial accounting, managerial accounting, and audit contexts. Students gain exposure to techniques for exploring 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 is on problem solving, theory, and application, with additional emphasis on interpretation and communication. Some programming is required, but some programming help is provided via online tutorials and instructor-provided code. Some advanced analytics methods such as text analytics, neural networks and deep learning are discussed in the later weeks. 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.
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