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
- 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
- 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
- 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
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
One Time Payment
On-Demand Course with 12 Months Course Access
✔ Downloadable materials
✔ Certificate included
Monthly Payment Plan
3 payments of £1,200/month
✔ Spread the cost
✔ Certificate & materials included
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