ACCT337

Undergraduate

In Data Analytics for Accountants, Richardson et al. (2021) define Data Analytics (DA) as “the process of evaluating data with the purpose of drawing conclusions to address business questions.” Increasingly, accountants are expected to create value for businesses through the use of technology, and DA tools are often regarded as the first step in transforming raw data into actionable insights for decision makers.Given the central role of statistics in applying analytics to accounting data, this course provides students with a foundation in the statistical analysis of accounting and financial information. The course emphasizes the use of Python programming to develop statistical reasoning and analytical skills, offering a structured framework for using data analytics to solve problems in an accounting and business context.

LO1.2: Our students can analyze, synthesize and evaluate financial and other related information for decision making in a management context., LO2.1: Our students understand and can apply business concepts and principles., LO2.2: Our students can communicate effectively in a business context., LO2.4: Our students can use Information Technology tools to analyse financial and other related information as well as communicate this to relevant stakeholders within a business context.