Auditing with Data Analytics Course

Module 1: Data Analytics Overview

• Define data analytics and its relevance in government auditing.
• Understand the stages of the data analytics lifecycle.
• Identify benefits and risks of data analytics in audit practice.
• Explore how data analytics supports audit objectives and efficiency.

Module 2: Planning for Data Analytics

• Integrate data analytics into the audit planning process.
• Establish objectives and define relevant data requirements.
• Assess risks and identify questions data analytics can help answer.

Module 3: Understanding the Data

• Learn how to locate, access, and evaluate data sources.
• Understand structured vs. unstructured data.
• Assess data completeness, reliability, and relevance for audit use.

Module 4: Preparing and Cleaning Data

• Apply data cleaning techniques to prepare datasets for analysis.
• Identify and resolve common data quality issues.
• Transform data for audit analytics using appropriate tools.

Module 5: Conducting the Analysis

• Select appropriate data analysis techniques for different audit goals.
• Use tools to perform basic analytics and identify anomalies.
• Interpret analytical results in context of audit objectives.

Module 6: Communicating Results

• Visualize data findings effectively for stakeholder reporting.
• Incorporate analytics results into audit documentation and reports.
• Ensure clarity and credibility in presenting audit evidence derived from data.