Data Analytics for Accounting
** available as of 06/15/2026
** available as of 06/15/2026
Prerequisites: Grade of C- or better in ACCT 303.
This course provides students with an understanding of data analytic thinking and terminology as well as hands-on experience with data analytics tools and techniques applied to accounting. Students should leave this course with the skills necessary to translate accounting and business problems into actionable proposals that they can competently present to managers and data scientists.
Outcomes: Students will learn database theory and how to convert the conceptual models into a physical database implementation that will record, maintain, and report financial and nonfinancial information; Students will learn how to leverage Tableau's (or other data visualization software) visual analytics capabilities to explore, analyze, and present accounting and business data effectively; Students will learn how to assess business process and information risks and apply the general, system, and application controls necessary to prevent or detect fraud and inaccuracies.
This course provides students with an understanding of data analytic thinking and terminology as well as hands-on experience with data analytics tools and techniques applied to accounting. Students should leave this course with the skills necessary to translate accounting and business problems into actionable proposals that they can competently present to managers and data scientists.
Outcomes: Students will learn database theory and how to convert the conceptual models into a physical database implementation that will record, maintain, and report financial and nonfinancial information; Students will learn how to leverage Tableau's (or other data visualization software) visual analytics capabilities to explore, analyze, and present accounting and business data effectively; Students will learn how to assess business process and information risks and apply the general, system, and application controls necessary to prevent or detect fraud and inaccuracies.