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2026 ON-DEMAND - Advanced Data Analytics for Real Estate Financial Modelling
Induction
Welcome (3:31)
Learning Hub
Course Handbook
Faculty (1:28)
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
Disclaimer
Module one | Introduction to Real Estate Data Analytics
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 Learning (3:52)
Further Reading
Module 2 | Introduction to Python - Practical Applications for Real Estate
Introduction (1:25)
Why Python? (2:24)
Environmental Setup: Choosing between Anaconda & Google Colab (6:29)
Essential Python Libraries for Real Estate Analytics (26:21)
Hands-on Exercise : Comparison of analysis for each library in Python and Excel (46:21)
Summary
Test your Learning
Further Reading
Module 3 | Enhancing Real Estate Spreadsheet Models with Python (Hands-on)
Introduction (1:40)
Integrate Python with Excel using xlwings (6:24)
Sensitivity Analysis in Excel Using Python (22:19)
Dynamic Scenario Analysis in Excel using Python (12:30)
Building a Python-Based Monte Carlo Simulation in Excel (14:19)
Summary (1:21)
Test your Learning
Further Reading
Module 4: AI-Powered Analytics & Prompt Engineering for Real Estate
Introduction (2:16)
Fine-Tuning and Best Practice for AI- Assisted Assumption Generation (8:40)
AI-Powered Market Research (Perplexity) (27:46)
AI-Driven Sentiment Analysis (Chat GPT & Deepseek) (15:47)
AI-Assisted Report Generation & Report Summaries (11:02)
Summary (3:09)
Test your Learning
Further Reading
Module 5: AI Enhanced Assumptions Generation and Integration for Real Estate Financial Modelling (Hands-on)
Introduction (3:41)
Understanding Key Real Estate Model Inputs and Assumptions with AI - Chat GPT (12:00)
Using AI to Generate Robust Financial Assumptions for Excel Model Inputs (12:30)
Using AI & Python for Enhanced Analysis - Produce Multivariate sensitivity tables (17:31)
Using AI & Python for Enhanced Analysis - Dynamic Scenario Modelling (14:49)
Using AI & Python for Enhanced Analysis - Monte Carlo Simulation (18:37)
AI-Powered Financial Model Summary and Reporting (21:40)
Summary
Test your Learning
Further Reading
Module 6: The Capstone Project
Capstone Project
Congratulations
Wrap Up
Course Content Recap
Your Feedback
What's next?
Bayfield 2025 Course Brochure
Using AI to Generate Robust Financial Assumptions for Excel Model Inputs
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