Accounting and Audit Analytics (classroom & Asynchronous E-Learning)

At the end of the course, participants will be able to

• Describe what is data analytics in accounting and audit.
• Apply basic skills on auditing, investigation and fraud detection using Microsoft Excel and IDEA, a data analysis software.
• Apply basic skills with a data visualisation tool like Tableau to develop insights in accounting and audit.
• Evaluate the practical considerations when applying data analytics in accounting and audit.

What You'll Learn

In today's business landscape, data has become ubiquitous, and accountants and auditors must be able to extract meaningful insights and patterns from data to improve organisational performance, decision-making, and customer/client/supplier satisfaction.

This course focuses on the practical application of data analytics in accounting and audit using a risk-based methodology. Participants will learn how to use data analytics tools and techniques, including Microsoft Excel and IDEA (Interactive Data Extraction and Analysis), a widely adopted audit data analysis software. Participants will also have the opportunity to develop their skills in data visualisation using software such as Tableau, enabling them to effectively communicate results to stakeholders.

This course is designed to equip participants with critical knowledge, skills, and attitudes that are essential in today's rapidly changing regulatory and technological environment. By using data analytics tools, participants will develop and reinforce critical skills, including problem-solving, critical thinking, communication, and teamwork. By the end of the course, participants will be well- equipped to navigate the complex demands of the modern accounting and assurance industry.

Minimum Entry Requirement

Participants with prior accounting qualifications or work experience in financial accounting or related fields will better appreciate the course contents.