Data Analytics for Auditors Online Course
Join our virtual, live instructor-led session and master Data Analytics for Auditors Training from anywhere in the world.
Upcoming Virtual Training Schedules
Join from anywhere in the world with our live instructor-led sessions
| Code | Start Date | End Date | Duration | Fee | |
|---|---|---|---|---|---|
| DAT-02 | Mon - Fri (5 Days) | USD 850 | Reserve my seat → Register my team → | ||
| DAT-02 | Weekend (4 Weeks) | USD 850 | Reserve my seat → Register my team → | ||
| DAT-02 | Mon - Fri (5 Days) | USD 850 | Reserve my seat → Register my team → | ||
| DAT-02 | Weekend (4 Weeks) | USD 850 | Reserve my seat → Register my team → | ||
| DAT-02 | Mon - Fri (5 Days) | USD 850 | Reserve my seat → Register my team → | ||
| DAT-02 | Weekend (4 Weeks) | USD 850 | Reserve my seat → Register my team → |
Here's What You'll Learn
Each module tackles real challenges you face in your role
Foundations of Audit Data Analytics
Data Acquisition and Preparation
Descriptive Analytics and Profiling
Diagnostic Analytics and Fraud Detection
Continuous Auditing and Automation
Predictive Analytics and AI in Auditing
Data Visualization and Audit Reporting
Market-specific guidance for United States
A country-aware view of the pressures, proof points, and practical tools that shape how this course applies locally.
Tools and platforms relevant to this field
4Field-relevant examples that may be featured in training where they support the confirmed scope. Exact coverage depends on participant needs and delivery format.
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Microsoft Excel MicrosoftWidely used for audit analytics tasks such as data cleaning, pivot analysis, exception testing, and lightweight dashboards.
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Power BI MicrosoftUsed to build interactive audit dashboards and visualize trends, exceptions, and control performance for stakeholders.
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SQL Server MicrosoftUsed to extract, join, and query large transaction datasets for full-population testing and automated audit procedures.
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Python Python Software FoundationUsed for repeatable anomaly detection, fuzzy matching, and automated analytical workflows when datasets are too large or complex for spreadsheet-only methods.
Where this course runs
Data Analytics for Auditors Training is delivered in the cities below — pick the one that fits your schedule.























