Accounting has always been about analytical thinking. A new skillset that is becoming more important for nearly every aspect of business is that of big data analytics: analysing large amounts of data to find actionable insights. This course is designed to help accounting students develop an analytical mindset and prepare them to use data analytic programming languages like Python and R.
We’ve divided the course into three main sections.
In the first section, we bridge accountancy to analytics. We identify how tasks in the five major subdomains of accounting (i.e., financial, managerial, audit, tax, and systems) have historically required an analytical mindset, and we then explore how those tasks can be completed more effectively and efficiently by using big data analytics.
In the second section of the course, we emphasize the importance of assembling data. Using financial statement data, we explain desirable characteristics of both data and datasets that will lead to effective calculations and visualizations.
In the third, and largest section of the course, we demonstrate and explore how Excel and Tableau can be used to analyze big data.