Data Analytics in Accounting

This course is a broad introduction to applying data analytics to solve problems in accounting and other business areas. During the course, you will receive hands-on experience with applying data science techniques through a series of in-class labs and an open-ended final project. Tools we will use include software such as Excel, Access, SQL, Tableau, XBRL, MindBridge Ai, Weka, and Python. Topics covered include data preparation and cleaning, statistical modeling, data visualization, audit data analytics, managerial performance analytics, financial statement analytics, tax analytics, and text mining. Prior experience with these tools is not required. While we will use many tools in this course, the focus is on concepts, not statistical math or programming.