Data analytics is among the most widely discussed topics in business circles today. In this session, you will learn about the four types of data analytics, tools for generating data analytics measures, and how to interpret and use data analytics results.
Product Code
1000004788-138505
Credit Type
CPE: 4
CPE-AA: 4
CPE-Technical: 4
NASBA Field of Study
Information Technology
Level of Difficulty
Intermediate
Prerequisites
Basic knowledge of technology strategy and standards
Advance Preparation
None
Learning Objectives
Compare the four types of data analytics and identify situations in which each can be useful in auditing environments
Identify opportunities to use features in Excel to analyze data in the context of auditing
Distinguish between Business Intelligence and Data Analytics
Differentiate between correlation and causation
Compare examples of how Power Query, Power BI, and other tools can streamline and enhance Data Analytics
Major Subjects
Understanding the importance of data analytics in modern business environments
Generating and interpreting data analytics using everyday applications such as Microsoft Excel and Microsoft’s Power BI platform
Using regression analysis to create and validate forecasts and projections
Tommy Stephens received a Bachelor of Science in Business Administration degree (Major in Accounting) from Auburn University in 1985. In 1992, he earned a Master of Science degree (Major in Finance) from Georgia State University in Atlanta. Presently, Tommy is a Certified Public Accountant, a Certified Information Technology Professional, and a Chartered Global Management Accountant. During his professional career, Tommy has gained valuable ex...