Accounting Data Analytics

Organizations collect masses of data. Accounting professionals who know how to uncover, analyze, and communicate insights from those data to drive decision-making are in high demand. By completing the Accounting Data Analytics graduate-level microcredential, leaners will develop standout data analytics capabilities, and perform at the leading edge in the fast-changing field of accounting.

Learners who earn this microcredential develop exceptional accounting data analytics capabilities, including the ability to:

• Frame problems in ways that can be answered by data and produce actionable results.

• Create interactive visualizations in Excel and Tableau to explore data, identify patterns and relationships, and communicate findings.

• Apply Python skills for assembling business data, including financial statement data, stock data, loan data, point-of-sale data, and more.

• Share results within Jupyter Notebook, a popular development environment for data analytic software such as Python and R.

• Use fundamental programming skills, such as mathematical operators, functions, conditional statements, and loops using Python.

• Conduct statistical analyses for quantifying patterns and relationships observed in the data.