Understanding Key Real Estate Model Inputs and Assumptions with AI -

ON-DEMAND - Advanced Data Analytics for Real Estate Financial Modelling

Induction

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 knowledge (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)

Module 4: AI-Powered Analytics & Prompt Engineering for Real Estate

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 - Content to be uploaded shortly.

Wrap Up

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