We may earn an affiliate commission when you visit our partners.
Course image
Valentine Ifenna Okolo

Fraud is one of the most serious threats to any organization — and it’s evolving faster than ever. Today, it’s not enough to react after fraud happens. You must detect it early, prevent it proactively, and build systems that make it almost impossible for fraudsters to succeed.

In this comprehensive, hands-on course, you’ll master the full spectrum of fraud prevention and detection skills — from designing bulletproof internal control systems to applying cutting-edge data analytics tools like Excel, Power BI, and ACL.

You’ll learn to:

Read more

Fraud is one of the most serious threats to any organization — and it’s evolving faster than ever. Today, it’s not enough to react after fraud happens. You must detect it early, prevent it proactively, and build systems that make it almost impossible for fraudsters to succeed.

In this comprehensive, hands-on course, you’ll master the full spectrum of fraud prevention and detection skills — from designing bulletproof internal control systems to applying cutting-edge data analytics tools like Excel, Power BI, and ACL.

You’ll learn to:

  • Spot red flags and behavioral indicators before fraud escalates.

  • Build strong internal controls that safeguard assets and ensure compliance.

  • Conduct structured fraud investigations using audit procedures.

  • Integrate fraud risk management into enterprise risk management (ERM) frameworks.

  • Meet global AML/KYC regulations and prevent financial crimes.

  • Foster an ethical culture that makes fraud socially and operationally unacceptable.

This isn’t theory — every lecture includes real-world frameworks, case studies, and step-by-step guides you can apply immediately. You’ll explore

Whether you’re an internal auditor, compliance officer, risk manager, or finance professional, this course will give you the credibility, skills, and confidence to:

  • Detect fraud faster

  • Strengthen your organization’s defenses

  • Boost your career in fraud analytics, internal audit, compliance, or risk

Fraud destroys trust and costs billions — but with the right skills, you can stop it before it starts. Enroll today and become the fraud prevention expert every organization needs.

What You’ll Learn:

  1. Apply fraud analytics to detect suspicious transactions and trends.

  2. Identify red flags that signal potential fraud in financial or operational data.

  3. Design internal control systems to prevent fraud and safeguard assets.

  4. Differentiate preventive, detective, and corrective internal controls.

  5. Conduct structured fraud investigations from planning to reporting.

  6. Use internal audit procedures to uncover anomalies and control gaps.

  7. Build a fraud risk management framework integrated with enterprise risk management.

  8. Apply

  9. Strengthen internal controls to meet compliance and regulatory requirements.

  10. Understand AML regulations and global anti-money laundering standards.

  11. Implement effective KYC and customer due diligence procedures.

  12. Apply enhanced due diligence for high-risk customers and PEPs.

  13. Use Excel to detect duplicate transactions and flag unusual activity.

  14. Build fraud dashboards and heatmaps in Power BI for real-time monitoring.

  15. Perform exception testing and continuous auditing with ACL software.

  16. Conduct fraud risk assessments and map them to internal control measures.

  17. Promote an ethical culture and strong “tone at the top” in organizations.

  18. Establish whistleblower systems that support fraud reporting and follow-up.

  19. Reduce fraud risk in procurement, payroll, and vendor management through controls.

  20. Position yourself for career growth in internal audit, compliance, or risk management.

Enroll now

What's inside

Learning objectives

  • Apply fraud analytics to detect suspicious transactions and trends.
  • Identify red flags that signal potential fraud in financial or operational data.
  • Design internal control systems to prevent fraud and safeguard assets.
  • Differentiate preventive, detective, and corrective internal controls.
  • Conduct structured fraud investigations from planning to reporting.
  • Use internal audit procedures to uncover anomalies and control gaps.
  • Build a fraud risk management framework integrated with enterprise risk management.
  • Apply coso, cobit, iso 31000, sox, and other internal control frameworks.
  • Strengthen internal controls to meet compliance and regulatory requirements.
  • Understand aml regulations and global anti-money laundering standards.
  • Implement effective kyc and customer due diligence procedures.
  • Apply enhanced due diligence for high-risk customers and peps.
  • Use excel to detect duplicate transactions and flag unusual activity.
  • Build fraud dashboards and heatmaps in power bi for real-time monitoring.
  • Perform exception testing and continuous auditing with acl software.
  • Conduct fraud risk assessments and map them to internal control measures.
  • Promote an ethical culture and strong “tone at the top” in organizations.
  • Establish whistleblower systems that support fraud reporting and follow-up.
  • Reduce fraud risk in procurement, payroll, and vendor management through controls.
  • Position yourself for career growth in internal audit, compliance, or risk management.
  • Show more
  • Show less

Syllabus

Introduction

Every year, fraud drains billions from organizations worldwide… but here’s the truth most professionals don’t realize: Fraud doesn’t just hurt finances — it destroys trust, damages reputations, and can even ruin careers.


The good news? You can stop it — if you know how to detect it early, prevent it effectively, and build strong internal controls.


That’s exactly what I’m going to teach you in this course.


What You’ll Learn:

  1. Apply fraud analytics techniques to identify suspicious transactions and behavioral patterns

  2. Detect, prevent, and mitigate fraud using practical fraud detection strategies

  3. Design and evaluate internal control systems that reduce risk and prevent financial loss

  4. Conduct effective fraud investigations using audit techniques and data analysis

  5. Build a risk-based fraud risk management program aligned with enterprise objectives

  6. Implement enterprise risk management (ERM) frameworks like COSO and ISO 31000

  7. Understand the full fraud lifecycle—from prevention to detection and investigation

  8. Develop a robust anti-fraud culture through training, ethics, and governance policies

  9. Use internal audit techniques to evaluate controls and detect irregularities

  10. Gain deep insight into AML (Anti-Money Laundering) laws, typologies, and enforcement

  11. Implement effective KYC (Know Your Customer) procedures to reduce identity-based fraud

  12. Navigate compliance requirements across financial regulations and industry standards

  13. Identify high-risk areas using risk assessment tools and fraud indicators

  14. Learn how to interpret financial and operational data for detecting fraud without relying on complex tools

  15. Position yourself for career growth in internal audit, risk management, or compliance roles

Read more

Learn the foundations of fraud analytics, common fraud types, red flag indicators, and proven techniques to detect and investigate suspicious activity before it escalates.

Lesson Objectives:

  • Define fraud analytics and its role in modern organizations

  • Understand common types of fraud and red flag indicators

  • Explore key techniques used to detect and analyze fraud

Master the design of internal control systems, understand preventive, detective, and corrective controls, and apply compliance frameworks to reduce fraud risk.

Lesson Objectives:

  • Understand the core components of internal control systems

  • Differentiate between preventive, detective, and corrective controls

  • Learn how strong controls reduce fraud and improve compliance

Explore the role of internal audit in uncovering fraud, learn structured investigation steps, and apply audit techniques to detect anomalies and strengthen controls.

By the end of this lecture, you will be able to:

  1. Explain the role of internal audit in fraud detection and risk management.

  2. Identify the key steps in conducting a structured fraud investigation.

  3. Apply audit procedures to detect anomalies, irregular transactions, and control weaknesses.

  4. Recognize common red flags uncovered during audits and investigations.

  5. Recommend corrective actions to address identified control gaps and fraud risks.

Build a fraud risk management framework, connect it to ERM, and use structured assessment methods to prioritize and mitigate high-risk fraud scenarios.

Lesson Objectives:

  • Understand components of a fraud risk management framework

  • Link enterprise risk management (ERM) to fraud mitigation

  • Identify and assess fraud risks using structured approaches

Learn AML regulations, KYC and customer due diligence procedures, and risk-based approaches to detect money laundering and prevent financial crimes.

Lesson Objectives

By the end of this lecture, you will be able to:

  1. Understand key Anti-Money Laundering (AML) regulations and common money laundering techniques.

  2. Apply Know Your Customer (KYC) and Customer Due Diligence (CDD) procedures effectively.

  3. Explain how AML/KYC frameworks help prevent fraud and ensure regulatory compliance.

Develop a fraud-resistant culture through leadership accountability, clear policies, targeted training, and employee awareness initiatives.

Lesson Objectives

By the end of this lecture, you will be able to:

  1. Promote ethical behavior and a strong tone at the top.

  2. Understand how leadership accountability sustains an anti-fraud culture.

  3. Design effective anti-fraud policies and training programs.

  4. Build employee awareness to reduce organizational fraud risk.

Gain practical skills to use Excel, Power BI, and ACL for fraud detection, build dashboards, run exception tests, and perform continuous transaction monitoring.

Lesson Objectives

By the end of this lecture, students should be able to:

  • Understand how Excel, Power BI, and ACL are applied in fraud detection.

  • Recognize key features and techniques in each tool for identifying fraud risks.

  • Appreciate the value of data analytics in internal audit and investigations.

<!-- Event snippet for Purchase conversion page -->

<script>

  gtag('event', 'conversion', {

      'send_to': 'AW-17655308277/z1TaCKibg7EbEPW_2uJB',

      'value': 1.0,

      'currency': 'USD',

      'transaction_id': ''

  });

</script>

Save this course

Create your own learning path. Save this course to your list so you can find it easily later.
Save

Career center

Learners who complete Fraud Analytics, Internal Control, Audit & Risk Management will develop knowledge and skills that may be useful to these careers:

Reading list

We've selected 50 books that we think will supplement your learning. Use these to develop background knowledge, enrich your coursework, and gain a deeper understanding of the topics covered in Fraud Analytics, Internal Control, Audit & Risk Management.
Is widely considered the essential reference for understanding DAX, the formula language of Power BI. It provides a comprehensive deep dive into DAX concepts, evaluation contexts, and optimization techniques. While challenging, it's invaluable for anyone seeking to truly master Power BI's analytical capabilities and is often recommended for intermediate to advanced users and professionals.
The third edition of the essential guide to data wrangling with pandas, NumPy, and Jupyter in Python. Updated for newer versions of the libraries, this book remains a core resource for anyone performing data analysis in Python. It widely used textbook and reference for its clear explanations and practical examples.
Focuses specifically on Power Query (M), the data transformation engine in Power BI. It's an excellent resource for users who need to connect to, clean, and shape data efficiently before analysis. It covers the M language in detail with practical examples, making it highly relevant for data preparation tasks.
Provides a broad understanding of AML regulations and their practical implementation. It's a useful reference tool for understanding how rules apply to real-life scenarios and offers actionable guidance for combatting money laundering challenges. It is often cited as a comprehensive guide in the field.
A more recent iteration of the comprehensive 'Bible' series, this book covers the features of Excel 2021. It serves as an excellent reference and learning tool for users who want a deep understanding of the software, from basic to advanced functionalities. It's suitable for a wide range of users.
A comprehensive guide to mastering the Power Query M language, this book is for users who need to perform complex data transformations. It delves into the intricacies of M code and provides practical examples for real-world problems.
Serves as a practical cookbook for solving common business problems using DAX. It provides a collection of reusable DAX patterns, making it an excellent companion to 'The Definitive Guide to DAX' for applying DAX in real-world scenarios.
Offers a comprehensive treatment of AML/CFT and sanctions compliance programs, focusing on key problems and practice areas. It is particularly useful for understanding the risk-based approach and the challenges of compliance within the financial industry. Often used in academic and professional programs.
Written by the same authors as 'The Definitive Guide to DAX', this book provides a strong foundation in data modeling and analysis using Power BI and Power Pivot. It's a great bridge for those transitioning from Excel and offers clear explanations of key concepts with practical examples.
The second edition of this book provides updated coverage on expert data modeling techniques in Power BI. It's a key resource for users looking to build optimized data models for complex reporting and business needs.
Dives into contemporary Excel topics like Power Pivot and Power Query, which are crucial for handling and analyzing large datasets. It's a key resource for users looking to move beyond basic data analysis and leverage Excel's business intelligence capabilities. Recommended for intermediate to advanced users and professionals.
A definitive guide to financial risk management, this handbook provides in-depth analysis of methods for measuring and managing risk in financial institutions. It covers various types of financial risk and crucial reference for professionals and advanced students in finance.
This reference provides comprehensive guidance on Enhanced Due Diligence (EDD) within the BSA/AML framework. It's a practical tool for compliance professionals needing detailed information on CDD and EDD processes.
This manual comprehensive resource covering a wide range of compliance and ethics topics. Often updated annually, it serves as a practical guide and reference tool for compliance professionals. It is particularly useful for understanding the various components of a compliance program and staying current with best practices. This go-to reference for practitioners.
This influential book challenges conventional notions of risk and probability by focusing on the impact of rare and unpredictable events ("black swans"). It argues that these events have a disproportionate impact on the world and that we are often ill-equipped to deal with them. It's a provocative read that encourages a different way of thinking about risk and uncertainty.
Focuses on the practical application of Power Query for data collection, combination, and transformation in both Excel and Power BI. It's a valuable resource for anyone who spends significant time preparing data for analysis.
Tells the story of the investigation into the Panama Papers, exposing the world of offshore finance and tax evasion. It's highly relevant to understanding the mechanisms used for hiding illicit wealth and the importance of transparency.
Specifically targets financial modeling using Excel, a key application in finance and accounting. is essential for students and professionals in these fields who need to build and analyze financial models. It covers relevant formulas, functions, and best practices.
A focused guide on Power Query, a powerful tool for data extraction, transformation, and loading within Excel and Power BI. is crucial for anyone dealing with data from multiple sources and needing to clean and prepare it for analysis. It's a valuable resource for data professionals.
Another strong resource for learning Power Query, this book by a well-known Power BI expert covers data transformation techniques in detail. It's suitable for users who want a thorough understanding of Power Query's capabilities.
Focuses on creating effective and advanced data visualizations using Excel, going beyond the default chart types. It's highly relevant to contemporary data analysis and communication. It provides step-by-step guides for creating various chart types and is valuable for users at all levels looking to improve their data storytelling.
Aimed at intermediate to advanced users, this book delves into expert techniques for creating impactful Power BI solutions. It covers various aspects of Power BI, including data modeling, visualization, and deployment, making it a valuable resource for professionals seeking to enhance their skills.
Takes a risk-based approach to auditing, which is becoming increasingly important in today's business environment. It helps students and practitioners understand how to identify, assess, and respond to risks in the audit process.
Drawing from extensive experience, Cassara examines traditional and emerging money laundering methodologies. offers a law enforcement perspective on the fight against financial crime and explores innovative solutions. It's particularly useful for understanding the practical challenges of tracing illicit funds.
A practical guide specifically for understanding and implementing the GDPR. is crucial for anyone dealing with the data of EU residents, offering step-by-step guidance on achieving and maintaining compliance with one of the most significant data privacy regulations globally. It is particularly useful for professionals and organizations operating internationally.
This handbook provides a comprehensive academic overview of compliance, covering a wide range of topics and perspectives from leading researchers. It is valuable for deepening understanding and exploring the theoretical underpinnings of compliance. is suitable for advanced undergraduate students, graduate students, and researchers seeking a broad scholarly perspective.
Provides a foundational understanding of the fundamental principles of data science and the data-analytic thinking necessary for extracting value from data in a business context. It is highly relevant for undergraduate business analytics programs and working professionals. It serves as a useful reference for understanding the business applications of data analysis and is commonly used as a textbook.
Focuses on the essential skill of data modeling within Power BI, covering concepts relevant to Power BI, Analysis Services tabular, and SQL databases. It's a valuable resource for understanding how to structure data for effective analysis.
Provides a foundational understanding of risk management and insurance principles, making it ideal for those new to the topic or seeking a broad overview. It covers basic concepts, traditional insurance, and introductory enterprise risk management, serving as a valuable textbook for undergraduate programs and a solid starting point for professionals.
Addresses contemporary data analytics practices within Excel, focusing on modern techniques for cleaning, transforming, and analyzing data. It's highly relevant for those looking to update their skills and leverage Excel for more sophisticated data analysis tasks.
Focused specifically on operational risk in the financial services industry, this book provides a detailed guide to managing this critical area. It covers frameworks, techniques, and best practices for identifying, assessing, and mitigating operational risks. It's essential for professionals working in risk management within banks and financial institutions.
Likely a comprehensive guide covering both AML and CFT, this book would be valuable for professionals seeking to understand the interconnectedness of these two areas. It would provide a deeper understanding of the regulatory landscape and practical applications.
Provides a comprehensive review of ML and TF mechanisms, methods, and techniques. It includes case studies and approaches to implementation, making it a valuable resource for gaining a detailed understanding of the ecosystem of financial crime.
This e-book explores the role of technology, including AI and machine learning, in enhancing AML compliance. It addresses contemporary challenges in navigating the evolving financial crime landscape and how technology can help. Relevant for understanding current trends and future directions in AML.
Focused specifically on the ISO 27001 standard for information security management systems, this guide details the controls and processes for implementation and auditing. It is essential for organizations seeking ISO 27001 certification and provides in-depth knowledge for compliance professionals in information security. valuable reference for those involved in information security compliance.
Challenges traditional, rules-based approaches to compliance and advocates for a more integrated, ethics-driven model. It's valuable for deepening understanding by exploring the 'why' behind compliance failures and offering practical strategies for building a more effective compliance culture within organizations. It is relevant for both students and professionals seeking to improve compliance programs.
Focuses on the crucial skill of communicating insights from data effectively through compelling visualizations. is highly relevant for all levels, emphasizing the importance of clear and impactful data presentation. It is valuable additional reading that complements technical data analysis skills.
Dives deep into array formulas, a powerful technique for complex calculations in Excel. It's for users who want to deepen their understanding of advanced formulas and push the boundaries of what Excel can do. Recommended for intermediate to advanced users.
Explores how criminals exploit financial systems for various illicit activities, including money laundering. It provides real-world case studies and insights into the mechanisms used. This is valuable for gaining a deeper understanding of the 'why' and 'how' behind the need for AML measures.
Ideal for beginners, this book provides a solid foundation in Excel basics with step-by-step guides. It covers a wide range of fundamental topics, making it a great starting point for those new to spreadsheets. While suitable for initial learning, it also touches upon more complex areas.
This textbook provides a comprehensive treatment of financial risk management, covering market, credit, and operational risks within financial institutions. It's widely used in undergraduate and graduate finance programs and solid resource for understanding the principles and practices of financial risk management.
Investigates the world of offshore finance and how it facilitates illicit financial flows. It provides a broad understanding of the global systems that enable money laundering and the challenges in combating them.
Focuses on applying Excel to solve business problems and analyze business data. It's a practical guide for students and professionals in business-related fields who need to use Excel for decision-making and analysis.
Offers guidance on the various aspects of information law, including data protection and privacy. Given the increasing importance of data privacy regulations like GDPR and CCPA, this book is highly relevant for understanding contemporary compliance challenges in this area. It valuable reference for legal practitioners and compliance professionals dealing with data.
Aligned with international standards like ISO 31000 and the COSO ERM Framework, this book offers a comprehensive introduction to enterprise risk management. It covers identification, analysis, and treatment of various risks, including emerging trends. It's suitable for students and risk professionals seeking a thorough grounding in ERM principles and practices.
Offers a critical look at common risk management practices and argues for more quantitative approaches. It challenges conventional wisdom and provides insights into improving risk assessment and decision-making. It's valuable for both students and professionals looking to refine their risk management methodologies.
This guide provides a quick introduction to Power BI for beginners, covering essential topics like data modeling, visualization, and storytelling with data. It's a good resource for getting up to speed quickly with the core functionalities of Power BI.
An authoritative examination of trade-based money laundering (TBML), this book discusses common techniques and the challenges in detecting them. It's valuable for understanding a specific and growing area of money laundering. Provides insight into TBML methods and using analytics for detection.

Share

Help others find this course page by sharing it with your friends and followers:

Similar courses

Here are nine courses similar to Fraud Analytics, Internal Control, Audit & Risk Management.
From Idea to Startup
Most relevant
Getting Started with AWS Audit Manager
Most relevant
Wharton Business and Financial Modeling Capstone
Most relevant
Corporate Financial Decision-Making for Value Creation
Most relevant
Patient Safety and Quality Improvement: Developing a...
Most relevant
Blockchain for the decision maker
Most relevant
Scrum Master Certification: Scrum Methodologies
Most relevant
PMP 35 Hours Master Course: PMP Certification Exam Prep
Most relevant
DeFi Investor 2025: Earn No Matter The Market Conditions
Most relevant

Udemy Buyer Protection & Guarantee

Verified partner policies & purchase protections

Global Marketplace Leader
Free Trial & Audit

Free Lecture Previews

Free preview video lectures available for all courses; optional 7-day free trial on Personal Plan subscriptions (cancel before trial ends to avoid conversion).

Return & Refund Policy

30-Day Money-Back Guarantee

30-day money-back guarantee on all eligible individual course purchases (provided course content has not been substantially consumed or downloaded). Subscription fees are non-refundable once billed.

Buyer Protections

Verified Academic & Industry Partner

Lifetime access to purchased individual courses and future updates, verifiable certificate of completion, and direct student Q&A forums.

Key Purchase Protections
30-day 100% money-back guarantee on course purchases
Lifetime access on web, mobile, and offline
Certificate of completion included with purchase
Direct instructor Q&A and active student community
OpenCourser Verified Partner Policy details last reviewed: 2026-10-22
Our mission

OpenCourser helps millions of learners each year. People visit us to learn workspace skills, ace their exams, and nurture their curiosity.

Our extensive catalog contains over 50,000 courses and twice as many books. Browse by search, by topic, or even by career interests. We'll match you to the right resources quickly.

Find this site helpful? Tell a friend about us.

Affiliate disclosure

We're supported by our community of learners. When you purchase or subscribe to courses and programs or purchase books, we may earn a commission from our partners.

Your purchases help us maintain our catalog and keep our servers humming without ads.

Thank you for supporting OpenCourser.

© 2016 - 2025 OpenCourser