Guide to Data Analytics for Audits
Expand your audit capabilities by applying data analytics to entire populations rather than relying solely on sampling. This course explains how to integrate analytics into every phase of an audit, from risk assessment through forming an overall conclusion. Address data collection challenges and learn practical techniques for analyzing large data sets. Reinforce the concepts through seven case studies that demonstrate real-world applications in audit engagements.
Format
PDF Course
Course Lists
Duration
1 Hour
Course Information
Author: Steven Bragg
Learning Objectives
Level: Overview
Course Number: AU1020
Learning Objectives
- Recognize the principles to be applied to the development of data visualizations.
- Identify the characteristics of relevant and reliable data.
- Specify the audit documentation requirements for data analytics procedures.
- Recognize the process flow for dealing with notable items.
- Identify the uses to which grouping and filtering activities can be put when engaging in audit data analytics.
Level: Overview
Instructional Method: QAS Self-Study
NASBA Category: Auditing
Prerequisites: None
Advance Preparation: None
Latest Review Date: May 2025
Program Registration Requirements: Click on the Enroll button to pay for and access the course. You will then be able to download the course as a PDF file, then take an on-line examination, and then download a certificate of completion if you pass the examination.
Program Refund Policy: For more information regarding administrative policies concerning complaints, refunds, and other matters, see our policies page.
