Data-driven Real Estate Investing

Service Description

A technical course with Python covering data-driven principles and techniques applicable to real estate investing. Course consists of 10 sessions as follows: Session 1 - Introduction: Data-driven Applications to Real Estate Investing Session 2 - Technology: Python, Web Harvesting and Internet Language Fundamentals Session 3 - Property Valuation: Automated Valuation Models Session 4 - Automated Underwriting: On-market, Processing listings data Session 5 - Automated Underwriting: Off-market, Commercial multifamily modeling Session 6 - Intelligence Automating: Condition Scoring via Computer Vision Session 7 - Intelligence Automating: Textual Classification via Natural Language Processing Session 8 - Market Analytics: Market Valuation Metrics and Other Downside Predictors Session 9 - Market Analytics: Appreciation Predictors Session 10 - Blockchain Development: Tokenization, Decentralized Exchanges for Real Estate Pre-requisites: Desire to learn coding and some real estate investing background are a plus.

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