Cover image for Data Mining for Auditors: Data Methodologies I

Data Mining for Auditors: Data Methodologies I

Practical skills in intro to pivot tables and poisson distribution

Lauren DealSVAG

Created by Lauren Deal, Stephen Vigil, Adam Gordan

Get hands-on with core data mining techniques tailored for auditors. You'll learn how to use pivot tables, understand key probability distributions, and analyze audit data for better decision making. Build a strong foundation in practical data analysis that supports your audit work from day one.

ACI | Aug 2026 | 871 min

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Level
Beginner
Categories
Financial Services, Audit, Assurance & Internal Controls, Financial Data Analytics & Visualization, Excel

What You Will Learn

You'll start with clear explanations of pivot tables and Poisson distribution, then move step by step into binomial distribution and trend analysis. Guided examples and practical scenarios help you connect each concept to real audit tasks, so you can apply new skills as you progress.

Key Features

  • Learn to analyze audit data using pivot tables and basic statistical methods
  • Understand and apply Poisson and binomial distributions to real audit scenarios
  • Evaluate trends and patterns to support audit and risk analysis activities

Target Audience

Perfect for internal auditors, audit data analysts, and assurance professionals at a beginner level. If you're new to data mining or looking to refresh your core analysis skills, you'll gain practical techniques to support reliable audit decisions and communicate findings with confidence.

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