Audit Command Language (ACL) Analytics Course Overview

Audit Command Language (ACL) Analytics Course Overview

The Audit Command Language (ACL) Analytics course is an extensive program designed to equip learners with the skills to leverage ACL, a powerful tool for data analysis, auditing, and compliance. This course is comprehensive, covering a broad range of topics from the basics of ACL Analytics to advanced data analysis techniques and compliance auditing.

Throughout the course, participants will gain hands-on experience with the ACL Analytics Environment, learn to work with data files, scripts, and reports, and develop advanced skills in data mining, risk analysis, and fraud detection. They will also explore integration with other systems, data visualization, and automation to enhance efficiency and accuracy in their audits.

By completing this course, learners will be adept at using ACL for data analysis, validating data integrity, identifying risks, and detecting potential fraud. They will be well-prepared to apply best practices for ACL Analytics and to troubleshoot common issues, ensuring compliance and improving their organization's audit processes. With these skills, professionals can drive better business decisions and maintain high standards of data governance.

This is a Rare Course and it can be take up to 3 weeks to arrange the training.

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  • Live Online Training (Duration : 24 Hours)
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  • Live Online Training (Duration : 24 Hours)
  • Per Participant

♱ Excluding VAT/GST

Classroom Training price is on request

You can request classroom training in any city on any date by Requesting More Information

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Course Prerequisites

To ensure a successful learning experience in the Audit Command Language (ACL) Analytics course, students should possess the following minimum prerequisites:


  • Basic understanding of auditing and data analysis concepts.
  • Familiarity with Windows operating system and general navigation skills.
  • Fundamental knowledge of Microsoft Excel, as it is often used for data manipulation and reporting.
  • Basic understanding of databases and data structures.
  • Willingness to learn new software and analytical techniques.
  • Ability to think critically and solve problems.
  • Some exposure to scripting or programming can be helpful, but it is not required.

These prerequisites are designed to provide a foundation for students to build upon as they delve into the course material. The course is structured to guide learners through the complexities of ACL Analytics, ensuring that even those with minimal prior experience can develop the skills needed to effectively use the software for data analysis and auditing tasks.


Target Audience for Audit Command Language (ACL) Analytics

  1. The ACL Analytics course is designed for professionals involved in data analysis, risk management, and compliance auditing.


    • Internal Auditors


    • External Auditors


    • IT Auditors


    • Compliance Officers


    • Risk Analysts


    • Fraud Examiners


    • Financial Analysts


    • Data Analysts


    • Business Analysts


    • Forensic Accountants


    • Quality Assurance Specialists


    • Information Systems Managers


    • Operations Managers


    • Financial Controllers


    • Corporate Governance Professionals


    • Security Analysts


    • Regulatory Compliance Consultants


    • Business Intelligence Professionals


    • Financial Regulators and Policy Makers


    • ERP and Financial System Consultants


    • IT Professionals looking to expand into analytics and auditing


    • Professionals working in sectors with a high demand for ACL expertise, such as banking, insurance, and government agencies.




Learning Objectives - What you will Learn in this Audit Command Language (ACL) Analytics?

Introduction to the ACL Analytics Course Learning Outcomes:

Gain expertise in data analysis, risk management, and compliance auditing with ACL Analytics. Learn advanced techniques for fraud detection, scripting, and visualization to enhance your IT audit capabilities.

Learning Objectives and Outcomes:

  • Understand the core concepts of ACL Analytics to perform data analysis and audit tasks efficiently.
  • Navigate and utilize the ACL Analytics Environment for various auditing processes.
  • Acquire skills in managing and analyzing large data sets using ACL Data Files.
  • Develop proficiency in writing and executing ACL Scripts to automate repetitive tasks.
  • Master the creation of detailed reports and understand the best practices for presenting data insights.
  • Learn advanced data analysis techniques, including fraud detection, risk analysis, and compliance monitoring.
  • Implement ACL Data Mining strategies to uncover patterns for predictive analytics and business intelligence.
  • Develop and apply ACL Data Validation rules to ensure data integrity and accuracy.
  • Gain knowledge on ACL Risk Analysis to identify, analyze, and mitigate potential risks.
  • Integrate ACL Analytics with other systems for a cohesive and efficient audit workflow, enhancing overall data security and compliance.