L2Uncover fraud with data analytics. Learn to design and refine detection models using tools like Benford’s Law, AI, and statistical analysis.
8:43
Chapter 1
Audits provide assurance; investigations uncover fraud. Learn how data models shift based on purpose, scope, and proof. This session defines key differences in fraud detection across auditing and investigative contexts—with accuracy and intent.
2 Quiz Questions
9:47
Chapter 2
From Excel to AI, fraud tools have evolved fast—but smart use starts with clear goals. Learn how to detect anomalies, document rigorously, and avoid flashy tools without substance. Consistency, context, and curiosity drive real insight.
2 Quiz Questions
14:12
Chapter 3
Bad data = bad conclusions. Learn how to define your problem, set scope, validate reliability, and avoid bias in your analytics. This session explores why strong foundations in data integrity are essential before building advanced fraud detection models.
2 Quiz Questions
6:30
Chapter 4
What’s better—certainty or suspicion? Learn the key differences between objective tests of controls and probabilistic models. Understand when to use each, how to interpret their results, and how they guide fraud detection and audit efficiency.
2 Quiz Questions
8:29
Chapter 5
Dive into the math behind fraud analytics. Learn how to use binomial distribution in Excel to flag anomalies, assess probability, and spot patterns that merit investigation. It’s not about guessing—it’s about measuring what’s too odd to ignore.
2 Quiz Questions
6:20
Chapter 6
Start with regressions, scale to machine learning. Learn how to build predictive fraud models, set clear objectives, and avoid the illusion of AI “smarts” without substance. This session shows how to evolve your tools while keeping rigor intact.
2 Quiz Questions
8:16
Chapter 7
How do you know your model works? Learn to measure precision, recall, and model power. From wild goose chases to missed red flags, this session shows how to fine-tune fraud models for smarter, safer, and more reliable decision-making.
2 Quiz Questions
A quick snapshot of what this Masterclass covers!
Discover the key takeaways and skills you'll build throughout this Masterclass!

Robert Persichitte
7
Chapters
Organized into clear, concise chapters for easy learning!
Key concepts and skills you'll master throughout this Masterclass
Finance & Advisory
Audit Reimagined

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Miles Masterclass Inc. is registered with the National Association of State Boards of Accountancy (NASBA) as a sponsor of continuing professional education on the National Registry of CPE Sponsors. State boards of accountancy have final authority on the acceptance of individual courses for CPE credit. Complaints regarding registered sponsors may be submitted to the National Registry of CPE Sponsors through its website: www.nasbaregistry.org
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CAIRA (Certified AI Ready Accountant – Level 1) is a digital certification by Miles Masterclass, co-created with global accounting and AI leaders. It's designed to help accountants build future-ready, AI-powered skills and earn a Credly-verified digital badge upon completion.
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