Introduction to Data Analytics for Accounting ISE

Chapter 1 Ask the Question: Using Data Analytics to Address Accounting Questions  

Chapter 2 Master the Data: An Introduction to Accounting Data  

Chapter 3 Master the Data: Data Types Used in Accounting  

Chapter 4 Master the Data: Preparing Data for Analysis  

Chapter 5 Perform the Analysis: Types of Data Analytics  

Chapter 6 Perform the Analysis: Descriptive Analytics  

Chapter 7 Perform the Analysis: Diagnostic Analytics  

Chapter 8 Perform the Analysis: Predictive Analytics  

Chapter 9 Perform the Analysis: Prescriptive Analytics  

Chapter 10 Share the Story  

Chapter 11 Capstone Projects Using the AMPS Model  

Chapter 12 Financial Statement Analysis  

Chapter 13 Managerial Accounting Analytics  

Appendix A: Excel Tutorial 

Appendix B: Tableau Tutorial 

Appendix C: Power BI Tutorial 

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®, Tableau®, and PowerBI® 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.