Fraud Detection using Data Analytics (12 units)

Welcome to "Fraud Detection Using Data Analytics," a course tailored for accounting and finance professionals seeking to enhance their skills in identifying and preventing fraud. This course delves into the fundamental concepts of fraud, its various types, and the significant impact it can have on organisations. Participants will gain an understanding of how to leverage essential data analytics tools such as Excel, Python, and SQL, and how to apply statistical and machine learning techniques to detect and investigate fraudulent activities. Through detailed case studies and practical exercises, you will gain hands-on experience in using these tools to uncover anomalies and implement effective fraud prevention strategies.

By the end of this course, you will be proficient in using data analytics to safeguard your organisation against fraudulent activities. You will understand how to apply descriptive and inferential statistics, create and interpret machine learning models, and communicate findings effectively to stakeholders. Whether you are an accounting professional, auditor, compliance officer, or risk management specialist, this course will equip you with the knowledge and skills needed to protect your organisation and enhance its financial integrity.

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