Reducing Financial Fraud with AI and Data Analytics (12 CPD Units)
Reducing Financial Fraud with AI and Data Analytics (12 CPD Units)
About This Course
Welcome to this course desinged to enhance your expertise in identifying and preventing fraud. This course covers essential concepts of fraud, its forms, and its impact on organizations. Participants will learn to use key data analytics tools like Excel, Python, and SQL, applying statistical and machine learning techniques to detect fraudulent activities. Through case studies and practical exercises, you will gain hands-on experience in identifying anomalies and implementing effective fraud prevention strategies.
By the end of this course, you will be proficient in using AI techniques and data analytics to protect your organisation from fraud. You will learn to apply descriptive and inferential statistics, basics of creating and interpreting machine learning models, and communicate findings to stakeholders. This course will equip accounting professionals, auditors, compliance officers, and risk management specialists with the knowledge and skills to enhance financial integrity.
After successfully completing this course, you will earn 12 CPD units (equivalent to 12 hours).
What You Will Learn
- Understand the Concept of Fraud
- Utilise Data Analytics Tools
- Apply Statistical Techniques
- Implement Advanced Fraud Detection Techniques
- Develop Fraud Prevention Strategies
- Report and Communicate Findings
Who This Course Is For
- Accountants exploring practical uses of AI
- Finance leaders planning automation or analytics initiatives
- Auditors and analysts working with financial data
- Professionals building digital-finance capability
Prerequisites
- Basic understanding of principles of accounting and fraud
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