Methods in Audit Data Analytics: Case Studies

WEBVTT (Music) Welcome to our course on methods in audit data analytics, case studies. In this course, you'll study case studies to understand how to detect fraud and recover funds using data integrity, quality, and integration. You'll learn to differentiate between structured and unstructured data, develop a systematic analysis process, and gain skills in extracting and visually communicating insights from data. Application of these techniques to audit components is also a significant part of the course. You'll be introduced to the impact of artificial intelligence, machine learning, and quantum computing on auditing. The curriculum encompasses historical and modern data analytic tools, understanding of flat data file structures, audit perspective, fraud detection, and predictive analytics. It's designed for compliance officers, audit managers, directors, financial, operational, and IT auditors, and key operational personnel. Successful completion of the course earns four CPE credits, so let's get started. (Music)