ACCT 641 - Data Analytics in Accounting I

Units: 3
Data analytics and data visualization tools and techniques applied in accounting, auditing or taxation. Topics include financial statement analysis, auditing, fraud examination using Tableau and Excel, predictive analytics using regressions and machine learning, and robotic process automation for accounting processes.

Prerequisites: ACCT 210.
Possible Instructional Methods: On-ground, or Hybrid or Online-Asynchronous.
Grading: A-F grading only.
Student Learning Outcomes - Upon successful completion of this course students will be able to:

Describe the principles of a good design for data visualization.
Apply data analytics in accounting and auditing using Excel.
Apply data analytics and data visualization in accounting and auditing using Tableau.
Describe and apply ETL (extract, transform and load relevant data) in accounting and auditing.
Apply basic statistical analysis techniques, regression and machine learning for predictive analytics and forecasting in accounting.
Describe and apply basic robotic process automation for accounting processes.