Introduction

The objective of this course is to equip real estate professionals with practical, hands-on skills in Python programming for data analysis, financial modelling, and Excel integration.

By the end of the course, participants will be able to apply Python to automate workflows, analyse large property datasets, build discounted cash flow (DCF) models, and conduct advanced sensitivity analyses that go beyond Excel’s limitations.

The course emphasises both fundamental coding concepts and their direct application to real estate investment analysis and decision-making

Learning Outcomes

By the end of this course, participants will be able to:

• Understand the core principles of Python and how to write clean, efficient code
• Work with key data structures such as lists, dictionaries, and functions
• Automate repetitive tasks to improve efficiency and productivity
• Read, analyse, and manipulate real-world datasets using Python
• Build a strong foundation for further learning in data analysis and automation