This course provides a comprehensive introduction to Big Data and its applications in auditing and data analytics. Learners begin by understanding the 4 Vs of Big Data — Volume, Velocity, Variety, and Veracity, gaining insight into how large datasets are collected, processed, and analyzed.

The course then explores the 4 types of data analytics — Descriptive, Diagnostic, Predictive, and Prescriptive — teaching learners how to extract meaningful insights from data for decision-making. Participants will also learn basics of data visualization, enabling them to present data clearly and effectively to stakeholders.

Focusing on auditing, the course covers Audit Data Analytics (ADA), including risk assessment, tests of control, and substantive testing. These modules demonstrate how auditors can leverage data analytics to identify anomalies, assess risks, and ensure accuracy and compliance in financial reporting. Real-world examples and step-by-step guidance make complex concepts accessible and practical for both accounting and data analytics professionals.

By the end, learners will be equipped to apply Big Data techniques and audit data analytics in real-world scenarios, improving audit efficiency and supporting data-driven decision-making.