The Consultant's AI Data Analysis Bootcamp
28 Practical Exercises with Real-World Datasets and Guided Prompts
Explore how an AI agent can help turn raw data into useful insights and support informed decisions. Using public datasets, these 28 lessons cover data preparation, business and customer analysis, forecasting, optimization, and presenting clear findings.
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Table of Contents
Part 01 / 07
Establish a reliable analytical foundation
Part 02 / 07
Diagnose business and operational performance
Part 03 / 07
Understand customers and commercial behavior
Part 04 / 07
Size markets and compare opportunities
Part 05 / 07
Explain, predict and evaluate interventions
Part 06 / 07
Improve operations and make decisions under uncertainty
Part 07 / 07
Build reusable consulting deliverables
Disclaimer: This resource is intended for educational and self-study purposes only. Any example or learner-created company, financial data, assumptions, and scenarios are fictional or illustrative. The resulting forecasts are hypothetical and should not be interpreted as predictions or guarantees of business performance. Learners should independently review assumptions, formulas, and model outputs before applying these techniques in real situations. Nothing in this resource constitutes financial, investment, accounting, tax, or legal advice.