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.
OVERVIEW
- In-Depth Analytics: Gain a thorough understanding of the role of data analytics in commercial real estate and how it improves financial decision-making.
- Data Mastery: Identify and work with various data types to build more accurate and reliable financial models.
- Python & Excel Integration: Learn to integrate Python and Excel for enhanced sensitivity analysis and dynamic scenario modelling, including Monte Carlo Simulation.
- AI Tools: Leverage AI tools to generate and refine financial assumptions, conduct market research, perform sentiment analysis, and automate report generation.
- Hands-On Experience: Complete a hands-on capstone project that incorporates Python and AI into a real estate financial model, demonstrating practical expertise and application of the skills learned.
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 knowledge (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
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