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Using ACL Data Analytic for Data Analysis & Income Assurance
Rating: 4.6 out of 5(38 ratings)
1,132 students

Using ACL Data Analytic for Data Analysis & Income Assurance

ACL Data Analytic Basic to Intermediate Training provides a comphensive way to understanding data analytics
Created byDivine selasi
Last updated 11/2023
English

What you'll learn

  • You will learn key data analysis concepts and the basics of working with ACL software.
  • Explain the fundamentals of data concepts, ACL basics, and data analysis cycles
  • Students will learn the stages of data access and data analytics automation
  • Student will learn about Data mining and analysis for management information
  • You will learn practical examples of analytics in various industries.

Course content

7 sections • 34 lectures • 3h 6m total length

  • Welcome4:28
  • Introduction to ACL8:52

    This section introduces you to ACL, looking at the meaning of ACL, the features and the users of ACL.

  • Understading ACL basics3:45

    This section introduces you to ACL Basics, where we discuss Projects, Tables, Views, Workspaces, Scripts, Folders etc.

  • Understanding Data concepts5:50

    This section discusses Data Concepts, Data Context, Files, Records and Fields.

  • Data Analysis Cycle5:00

    Data analysis cycle is one of the critical areas to look at when beginning your data analytics journey. We look at the importance of Planning, Data Access, Data Integrity Verification, Data Analysis and Reporting.

Requirements

  • Participants should have a basic knowledge of Windows.
  • No prior programming or data analytics skills required.

Description

This course is a comprehensive tutorial on Audit Command Language (ACL) Data Analytics, designed for users who want to learn the functionalities and usage of Audit Command Language (ACL). Through this thorough tutorial and practice exercises, you will learn how to effectively use Audit Command Language (ACL) to accomplish your audit and/or business objectives. Key topics include:

• Detect gaps and control failures

• Discover duplicates in inconsistent data and duplicates that are similar but not exact

• Access and reconcile data from various systems in order to identify potential issues

• Identify outliers and anomalies in transactional data

• Combine data from multiple source types in order to make comparisons between them

• Aggregate data to identify trends and exceptions

• Compare files to identify changes between two points in time

• Calculate elapsed times and isolate those outside bounds

• How to identify ghost workers and identify payroll fraud.

Auditors, Data analysts and Financial professionals who want to take their analytics to the next level need to take this course as this has been designed to practically teach students how to apply this training to practical industry use.  ACL users or potential users can take this course as this has been designed to meet all user needs.

Who this course is for:

  • Students requiring data analytics skills
  • ACL users who want to sharpen their skills and Prospective ACL users.
  • Data analysts and Financial Control personal;
  • Financial, Operational, and External Auditors; Information System Auditors and Audit Management;

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