The Introduction to Python for Real Estate Analytics program provided participants with practical experience using Python to analyze commercial real estate data, evaluate properties and deals, and streamline analytical workflows. Participants developed foundational proficiency in Python and pandas, applied these tools to real-world commercial real estate datasets and industry metrics, and transformed raw data into clear charts and visual insights used to support property and deal evaluation, negotiation, and informed decision-making. The program is designed for students interested in careers in commercial real estate, finance, investment analysis, and data analytics, including those with no prior technical or real estate experience. Through hands-on experience with real commercial real estate datasets and workflows, participants will build a strong foundation in Python-based analysis and data visualization while developing practical skills that can support future internships, interviews, and careers across the real estate and finance industries.