After completing this course, the learner should be able to:
- Describe the definition and different types of audit data analytics
- Describe the benefits and limitations of audit data analytics
- Perform audit data analytics for structured problems
- Perform audit data analytics for unstructured problems
- Understand the benefits of automation
David Wang is an award-winning professor in both teaching and research who received his Ph.D. from Purdue University. He mainly teaches audit analytics, data mining, IT auditing and accounting information systems. He has been invited by conferences and universities around the world to discuss curriculum design and teaching strategies and is currently listed on the Fulbright Specialist Roster for developing an analytics curriculum for accounting programs. Dr. Wang’s research interests are IT management and information security management. He is currently the 2nd most productive accounting information systems researcher based on Brigham Young University’s accounting researcher ranking and his papers have more than 30,000 full-text downloads from the Science Direct academic network. Dr. Wang actively serves in the professional community as an editor, reviewer and conference/workshop coordinator. He was also the president of the American Accounting Association Midwest Region in 2020, as well as the 2018 KPMG James Marwick Professor in Residence.
Becker Professional Education Sponsor I.D. Numbers NASBA: 107294, New York: 002087, New Jersey: 20CE00226700, Texas: 009580, Ohio: CPE.186, Illinois 158.002405, Pennsylvania: PX177823