Data Analytics

Find patterns. Predict future outcomes. Hit organizational goals.

As companies increasingly rely on data to drive strategic business decisions, it’s important students have the skills and knowledge to turn data into a competitive advantage.

Using a range of projects across the accounting curriculum, students will learn how to analyze data through hands-on exercises, video tutorial, and software instruction, preparing them to make sound, evidence-based decisions that drive business performance.

All data analytics content has been created by esteemed Pearson authors and datasets are consistently updated to keep your materials fresh and relevant.

Problem sets

For introductory and principles of accounting courses.

Students will use Excel, Tableau, and PowerBI to solve a collection of problems — from transaction analysis and margin analysis to budgeting and performance measurement.* They'll: 

  • Gain proficiency with analytical software.
  • Get experience querying data, recognizing patterns, and uncovering relationships between data points.
* Problem types vary by course.

The Merger

For accounting information systems, cost, and data analytics courses.

In this comprehensive project, students work with a dataset (from approx. 1.7M payroll records) of two merging companies. Students will manipulate data to make important accounting decisions. They'll:

  • Gain exposure working with big data and learn about the importance of data integrity.
  • Get experience importing, storing, organizing, and analyzing data in a database.
Instructors also receive a manual on how to assign, implement, and grade each project.


For intermediate accounting courses.

Students will work on a collection of cases and problems, scrutinizing financial reports and answering instructor-posed questions. They'll:

  • See what questions to ask in their examination of data sets.
  • Learn how to effectively communicate the results of their analysis.

Additional projects

For auditing courses.

Students will receive an extensive introduction to auditing and assurance services, and use ACL, Excel, IDEA, and Tableau to analyze data of the sales and collection cycles for a hypothetical company. They'll:

  • Gain proficiency with analytical software.
  • Get insight into the various ways auditors are using ADA compliance in financial statement cycles to perform control, transaction, procedure, and detail tests.