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 Sierra Leone
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 MicrosoftUsed for audit data cleaning, pivot tables, exception testing, and quick exploratory analysis before moving to more advanced analytics.
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Power BI MicrosoftUsed to build interactive audit dashboards and visual exception reports that help auditors communicate trends, outliers, and risk signals.
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SQL Server MicrosoftUsed to extract, join, and filter large transaction datasets for full-population testing and repeatable audit procedures.
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Python Python Software FoundationUsed for anomaly detection, data wrangling, fuzzy matching, and automating repeatable audit checks on larger datasets.
Where this course runs
Data Analytics for Auditors Training is delivered in the cities below — pick the one that fits your schedule.























