Applied Analytics for Accounting

3.00 credit hours

This is the second course in the Department of Accountancy's analytics sequence. The course is designed to advance students' ability to obtain information from data sets using the extract-manipulate-display framework introduced in ACCT 207. We use the tools of average, variance, correlation, sampling, and causal reasoning to reduce uncertainty. Upon course completion, students will be able to ask good questions when faced with unfamiliar accounting data. We prioritize development of critical thinking skills over the ability to use software to perform statistical calculations.

Sample Syllabus (login required)

Thomas King (Spring 2018)

NOTE: Instructors and offerings vary by semester. Visit the Schedule of Classes for the most up-to-date information.