Excel For Auditors And Fraud Examiners
Published 7/2025
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz
Language: English | Size: 1.72 GB | Duration: 3h 35m
Published 7/2025
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz
Language: English | Size: 1.72 GB | Duration: 3h 35m
Learn the Most Practical Excel Skills every Auditor and Fraud Examiner needs—Clean Data, Spot Anomalies, Detect Fraud
What you'll learn
Structure and clean raw audit data using Excel tools like Text to Columns and Flash Fill
Reconcile opening and closing balances to detect discrepancies and irregularities
Apply Benford’s Law in Excel to identify unusual number patterns and potential fraud
Use Excel’s Quick Analysis tool for fast, visual insights during audit planning
Detect trends, correlations, and outliers to support risk-based auditing
Avoid common Excel mistakes that compromise audit accuracy and reliability
Find duplicate records, unusual entries, and one-to-many transactions using audit-specific Excel functions
Improve audit efficiency and effectiveness through structured Excel workflows
Requirements
Basic familiarity with Microsoft Excel (no advanced skills needed)
No prior audit or fraud examination experience required—concepts will be explained clearly
Description
Excel for Auditors and Fraud Examiners – A Complete 3.5-Hour Practical GuideThis course is designed specifically for auditors, fraud examiners, compliance professionals, and data reviewers who want to apply Excel in real-world audit and fraud detection work.In just 3.5 focused hours, you'll learn how to clean and prepare messy datasets, identify suspicious transactions, reconcile balances, and apply analytical techniques like Benford’s Law—all using the tools available in Microsoft Excel.Whether you're new to auditing or looking to sharpen your Excel skills, this course provides practical, step-by-step instruction built around actual audit use cases.What makes this course different?Most Excel courses teach generic formulas and functions. This course is different. It's built from an auditor’s point of view—showing you how to use Excel to detect risk, uncover fraud, and support data-driven decision-making.You’ll learn what to use, when to use it, and how to interpret what you find.By the end of the course, you'll be able to:Clean and structure raw data with confidenceIdentify anomalies in transaction timing and volumeDetect red flags through trend analysis, outlier detection, and Benford’s LawUse Excel’s built-in tools to plan audits and test controlsApply professional formatting and techniques to make your files audit-readyWhether you're working in internal audit, public accounting, or fraud investigation, this course will help you get more value out of Excel—and your data.
Overview
Section 1: Mastering Essential Excel Skills for Audit and Fraud Examination
Lecture 1 Introduction to Excel for Auditors (A Must-Watch Session)
Lecture 2 Boosting Efficiency and Effectiveness in Excel
Lecture 3 Understanding and Using Wildcards in Excel
Lecture 4 Do This Instead of Merge Cells in Excel
Lecture 5 Quickly Removing Blank Rows and Cleaning Data
Section 2: Extracting, Cleaning, and Structuring Audit Data
Lecture 6 Smart Formatting Techniques for Clean and Reliable Data
Lecture 7 Extracting Data and Skipping Blank Cells
Lecture 8 Splitting and Converting Data Across Columns 1
Lecture 9 Splitting and Converting Data Across Columns 2
Lecture 10 Structuring Data into Tables for Better Analysis
Lecture 11 Managing Trailing Negative Values
Lecture 12 Handling Common Date Issues in Excel
Lecture 13 Using AI-Powered Features in Excel for Auditors
Lecture 14 Distributing Data as per Requirement
Lecture 15 Reversing Order and Getting Specific Data from Complex Data
Lecture 16 Combining and Extracting Data Effectively
Lecture 17 Deriving Dates, Months, and Years from Data Sets
Section 3: Detecting Anomalies, Risky Transactions, and Irregularities
Lecture 18 How to Identify Outliers in Data
Lecture 19 Spotting and Removing Duplicate Transactions and Entries
Lecture 20 Detecting Anomalies or Suspected Figures in Data
Lecture 21 Identifying Transactions on Weekends, Holidays, and After-Hours
Section 4: Data Analysis Techniques for Auditors & Fraud Examiners
Lecture 22 Leveraging the Quick Analysis Tool for Instant Insights
Lecture 23 Reconciling Balances and Validating Data Integrity
Section 5: Fraud Detection Using Benford’s Law
Lecture 24 Understanding the Theory Behind Benford’s Law
Lecture 25 Applying Benford’s Law for Fraud Detection in Excel
Section 6: Special Tools and Techniques for Auditors & Fraud Examiners
Lecture 26 Performing Correlation and Trend Analysis in Audit
Lecture 27 Creating and Understanding Heat Maps for Risk-Based Audit Planning
Internal auditors, Fraud examiners, and Compliance Professionals looking to enhance their Excel skills,Accountants, finance officers, and data reviewers involved in audit support or control testing,Professionals preparing for audit fieldwork, fraud analysis, or forensic data reviews,Students and entry-level professionals seeking Excel-based techniques for audit and fraud scenarios,Anyone responsible for detecting data irregularities, reconciling balances, or evaluating transactional risks using Excel