Python in Excel 4: AI-Driven Financial Modeling with CoPilot, LLMs & Data Automation: Integrating Machine Intelligence into

Where Finance Meets the Future of AI.

In Python in Excel 4, author Hayden Van Der Post takes the groundbreaking integration between Python, Excel, and AI to an entirely new level. This book redefines what financial modeling can be, blending CoPilot, Large Language Models (LLMs), and data automation to transform the way professionals analyze, forecast, and make strategic decisions.

This isn’t another Excel tutorial. It’s a complete framework for building intelligent financial systems inside the world’s most familiar tool. Using practical code examples, automation workflows, and AI-powered forecasting models, you’ll learn how to:

Integrate Python directly into Excel to automate data pipelines, forecasting, and analytics.

Build AI-assisted financial models that learn from data and adapt to new inputs.

Use CoPilot and LLMs to generate, test, and refine models with natural language prompts.

Apply data-driven intelligence to corporate finance, FP&A, and strategic planning.

Unlock exponential productivity by transforming Excel into a true machine learning workspace.

Whether you’re a finance professional, analyst, or AI-curious entrepreneur, this playbook delivers the practical systems, frameworks, and mindset to thrive in the intelligent automation era.


Who This Book Is For
Financial analysts and CFOs integrating AI into daily workflows.

Professionals using Excel for modeling, forecasting, or analytics.

Python users looking to merge automation with familiar business tools.

Students and consultants preparing for the new wave of AI-native financial systems.

The future of financial modeling isn’t about more formulas, it’s about smarter systems.