This course provides an introduction to, and hands-on experience with, accounting data management, accounting analytics, and visualizing accounting data. By learning both practical software tools and the core principles of data management and data visualization, you'll be prepared to leverage accounting data to provide insights into important accounting, auditing, and taxation problems.

This course introduces data management and mining concepts and practices. relational databases, structured query language (SQL), and data analytics tools incorporated to introduce data structure, database design, data queries and data manipulation.

This course is an introduction to the use of analytical modeling for supporting decision making in accounting, taxation, and auditing. It explores the use of analytical models and technologies including data mining and descriptive, predictive, and prescriptive modeling. Projects and cases will use software to explore accounting applications of confidence intervals and effect sizes, linear and logistic regression, association models and cluster analysis, text mining, time series analysis and forecasting, classification and regression trees, and, model selection and evaluation.