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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
The Value Add of Real Estate Analytics to Financial Modelling and Decision-Making
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