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
Full Course Curriculum
Your free sample includes full access to Induction and Module 1, as well as an overview of all remaining modules.
Induction
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- Bayfield 2026 Executive Education Brochures
- Bayfield Free Property Webinars
- Course Brochure: Advanced Data Analytics for Real Estate Financial Modelling
- Welcome (3:31)
- Learning Hub
- Course Handbook
- Faculty (1:28)
- Live Webinars
- Community Forum
- Terminology: Python
- Terminology _ Useful statistical concepts
- Terminology: Real Estate Concepts
- Apply What You Learn to Your Own Models
- Course T&C and Teachable Troubleshoot Document
Module one | Introduction to Real Estate Data Analytics
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- Introduction - Defining Real Estate Analytics (7:30)
- Real Estate Data & Applications (10:19)
- Real Estate Analytics Spectrum (8:31)
- The Value Add of Real Estate Analytics to Financial Modelling and Decision-Making (6:26)
- Analytics in Practice - AI Tools and Software (8:40)
- Summary
- Test your knowledge (3:52)
- Further Reading
Module 2 | Introduction to Python - Practical Applications for Real Estate
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after you enroll
Module 3 | Enhancing Real Estate Spreadsheet Models with Python (Hands-on)
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after you enroll
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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after you enroll
- Introduction
- Understanding Key Real Estate Model Inputs and Assumptions with AI - Chat GPT
- Using AI to Generate Robust Financial Assumptions for Excel Model Inputs
- Using AI & Python for Enhanced Analysis - Produce Multivariate sensitivity tables
- Using AI & Python for Enhanced Analysis - Dynamic Scenario Modelling
- Using AI & Python for Enhanced Analysis - Monte Carlo Simulation
- AI-Powered Financial Model Summary and Reporting
- Summary
- Test your Learning
- Further Reading
Module 6: The Capstone Project - Content to be uploaded shortly.
Available in
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after you enroll
Wrap Up
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after you enroll
What you get with this course:
✔ 7 days of access to course content
✔ Full access to Induction and Module 1 | Introduction to Real Estate Data Analytics
✔ Overview of all remaining modules and course structure
✔ Introduction to AI tools and real estate analytics concepts
✔ Step-by-step guidance to get started with advanced data techniques
✔ Full access to Induction and Module 1 | Introduction to Real Estate Data Analytics
✔ Overview of all remaining modules and course structure
✔ Introduction to AI tools and real estate analytics concepts
✔ Step-by-step guidance to get started with advanced data techniques
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