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Data Analytics and Fraud Detection for Auditors Course Overview

Data Analytics and Fraud Detection for Auditors Course Overview

Overview of Data Analytics and Fraud Detection for Auditors Course

Our Data Analytics and Fraud Detection for Auditors course empowers professionals to harness the power of data analytics in identifying and mitigating fraud risks. Participants will learn to apply analytical techniques to detect anomalies, assess financial health, and enhance audit processes. Key learning objectives include mastering essential data analysis tools, understanding fraud detection methodologies, and developing a strategic approach to risk assessment. Through practical applications, attendees will engage in real-world scenarios, equipping them with the skills to make informed decisions and elevate their auditing practices. Join us to empower your auditing capabilities with cutting-edge analytics!

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3,100

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Course Fee 3,100
Total Fees
3,100 (USD)
  • Live Training (Duration : 80 Hours)
  • Per Participant
  • Guaranteed-to-Run (GTR)
  • Classroom Training fee on request
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Inclusions in Koenig's Learning Stack may vary as per policies of OEMs

  • Live Training (Duration : 80 Hours)
  • Per Participant
  • Classroom Training fee on request
Koeing Learning Stack

Koenig Learning Stack

Free Pre-requisite Training

Join a free session to assess your readiness for the course. This session will help you understand the course structure and evaluate your current knowledge level to start with confidence.

Assessments (Qubits)

Take assessments to measure your progress clearly. Koenig's Qubits assessments identify your strengths and areas for improvement, helping you focus effectively on your learning goals.

Post Training Reports

Receive comprehensive post-training reports summarizing your performance. These reports offer clear feedback and recommendations to help you confidently take the next steps in your learning journey.

Class Recordings

Get access to class recordings anytime. These recordings let you revisit key concepts and ensure you never miss important details, supporting your learning even after class ends.

Free Lab Extensions

Extend your lab time at no extra cost. With free lab extensions, you get additional practice to sharpen your skills, ensuring thorough understanding and mastery of practical tasks.

Free Revision Classes

Join our free revision classes to reinforce your learning. These classes revisit important topics, clarify doubts, and help solidify your understanding for better training outcomes.

Inclusions in Koenig's Learning Stack may vary as per policies of OEMs

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♱ Excluding VAT/GST

You can request classroom training in any city on any date by Requesting More Information

Inclusions in Koenig's Learning Stack may vary as per policies of OEMs

Request More Information

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Target Audience for Data Analytics and Fraud Detection for Auditors

The Data Analytics and Fraud Detection for Auditors course equips professionals with skills to analyze data effectively and detect fraud, making it essential for auditors and finance specialists.


  • Internal Auditors
  • External Auditors
  • Forensic Accountants
  • Fraud Investigators
  • Compliance Officers
  • Risk Management Professionals
  • Financial Analysts
  • Accounting Managers
  • Data Analysts
  • IT Auditors
  • Business Intelligence Professionals
  • Audit Managers
  • Corporate Governance Specialists
  • Professionals in Law Enforcement
  • Financial Regulators


Learning Objectives - What you will Learn in this Data Analytics and Fraud Detection for Auditors?

Introduction: The Data Analytics and Fraud Detection for Auditors course equips participants with essential skills to utilize data analytics in uncovering fraud and enhancing auditing processes through effective analytical techniques and methodologies.

Learning Objectives and Outcomes:

  • Understand foundational concepts of data analytics and its relevance to auditing.
  • Identify different types of fraud and the key indicators of fraudulent activities.
  • Utilize data analytics tools for effective fraud detection and prevention.
  • Analyze large datasets to uncover trends and anomalies indicative of fraud.
  • Develop critical thinking skills to assess the validity of data insights.
  • Implement auditing frameworks that incorporate data-driven decision-making.
  • Gain proficiency in visualizing and presenting data findings to stakeholders.
  • Understand legal and ethical considerations in data analytics for auditing.
  • Enhance overall audit quality and effectiveness with data-driven insights.
  • Cultivate skills to continuously monitor and improve fraud detection procedures.

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