Data Mining for Auditors: Data Methodologies II
Practical skills in correlation analysis and concentration testing
Created by Lauren Deal, Stephen Vigil, Adam Gordan
Explore practical techniques for analyzing audit data, including correlation analysis and concentration testing. Build the skills to spot data patterns and fraud indicators, and learn to apply analytical methods that support better audit decisions.
ACI | Aug 2026 | 228 min
What You Will Learn
You will start by learning the basics of correlation analysis and concentration testing, then move on to recognizing data patterns and fraud factors. Step-by-step examples and guided practice help you apply analytical methods directly to audit data, making each concept relevant to real audit work.
Key Features
- Identify and interpret key data patterns and fraud indicators in audit datasets
- Apply correlation analysis and concentration testing to real-world audit scenarios
- Use Excel functions to support financial analysis and risk assessment tasks
Target Audience
Ideal for internal auditors, audit data analysts, and assurance professionals at a beginner level. If you are new to audit analytics or looking to refresh your skills in data analysis and fraud detection, you will gain practical tools and confidence to support your audit responsibilities.
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