Loose Leaf for Introduction to Data Analytics for Accounting

Bys: Richardson, Vernon, Terrell, Katie L., Teeter, Ryan A.

The combination of computerization and automation of many accounting tasks as well as the explosion of available data is changing the accounting profession. To address this, accountants are increasingly required to have an analytics mindset to perform their jobs. Building upon the fundamentals of accounting learned in prior courses, Introduction to Data Analytics for Accounting explores accounting concepts through the application of data analytics. We recognize students need to not only develop the skills to ask the right questions, but to learn how to use tools they may encounter in the workplace such as Excel(R), Tableau(R), and PowerBI(R) to examine and analyze data, and then effectively interpret results to make business decisions. This analytics mindset is crucial early in the study of accounting to meet the demands of today's accounting jobs.

• Format: Loose Leaf
• Language: English
• ISBN: 1266358234
• ISBN13: 9781266358234
• Release Date: January 2023
• Publisher: McGraw-Hill Companies
• Length: 688 Pages
• Grade Range: Postsecondary