✔ 12 months access
✔ Python & Excel
✔ AI analytics
✔ Capstone project
✔ CPD accredited

Introduction

This course is designed to provide practical expertise and a competitive edge in real estate financial modelling, making it ideal for real estate analysts, professionals, and data scientists looking to transition into the industry.


Learning Outcomes

By the end of this course, participants will be able to:

  • Use advanced data analytics to enhance real estate financial models
  • Integrate Python with Excel for sensitivity, scenario and Monte Carlo analysis
  • Leverage AI tools to generate and refine financial assumptions and market insights
  • Work with real‑world datasets to improve model accuracy and decision support
  • Complete a hands‑on capstone project that applies analytics, Python and AI to a real estate model


Course Curriculum

  Induction
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  Module one | Introduction to Real Estate Data Analytics
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  Module 2 | Introduction to Python - Practical Applications for Real Estate
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  Module 3 | Enhancing Real Estate Spreadsheet Models with Python (Hands-on)
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  Module 4: AI-Powered Analytics & Prompt Engineering for Real Estate
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  Module 5: AI Enhanced Assumptions Generation and Integration for Real Estate Financial Modelling (Hands-on)
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  Module 6: The Capstone Project
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  Wrap Up
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What you get with this course:


✔ 12 months of on‑demand access to all course materials
✔ Practical Python and AI integration exercises for real estate analytics
✔ Hands‑on work with real-world datasets to improve model accuracy
✔ Step‑by‑step guided instruction from industry experts
✔ Capstone project to demonstrate applied skills and mastery
✔ 35 CPD hours and a CPD-accredited certificate


Select a Payment Option

🎓 Student Discount Available
Eligible students may receive a discounted rate. Contact us for more details.

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Jacob Noble

Jacob Noble

Chief Executive Officer

j.noble@bayfieldtraining.com
Emma Wilson

Emma Wilson

Marketing Executive

e.wilson@bayfieldtraining.com