K2's Data Analytics for Accountants and Auditors - VIRTUAL

Prerequisites

Basic knowledge of technology strategy and standards

Objectives

• List 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  
• Cite examples of how Power Query, Power BI, and other tools can streamline and enhance Data Analytics

Highlights

• Understanding the importance of data analytics in modern business environments  
• Generating and interpreting data analytics using everyday applications such as Microsoft Office Excel and Microsoft’s Power BI platform 
• Using regression analysis to create and validate forecasts and projections