The How’s and Why’s of Data Analytics
Overview:
Increasingly, accountants and auditors are called upon to use data analytics to understand and improve results. Yet, many professionals struggle with data analytics and remain unaware of how to obtain the needed results using tools they already own.
In this course, you will learn about the four primary types of data analytics and when to use each. Further, you will learn how to generate meaningful analytical measurements using Excel, Power BI, and other tools and, more importantly, how to interpret the results. This course is for you if you seek to use data analytics – and who isn’t.
Data analytics is among today’s hottest topics in most professional circles, including accounting. In this course, you will learn about the four types of data analytics and how to use them to make better decisions in virtually all aspects of your business.
Course Content:
In this course, you will gain knowledge about the following topics:
- Understanding the four types of data analytics
- Differentiating between correlation and causation
- How to generate data analytics in Excel and other applications already in use
- The role of Artificial Intelligence in data analytics
Learning Objectives:
Upon completing this course, you should be able to:
- List the four types of data analytics
- Identify examples of analytics available in Excel’s Analysis ToolPak
- Differentiate between correlation and causation
- Identify at least two analytical techniques available in Microsoft’s Power BI platform
Who Will Benefit:
Accounting and business professionals seeking to learn more about the emerging field of data analytics.