Skip to main content Link Menu Expand (external link) Document Search Copy Copied

cover image

Data Analytics and Visualization

RE 519, Runstad Department of Real Estate, University of Washington, Autumn 2025
Monday & Wednesday, 2:30 - 3:50pm, Mechanical Engineering Building 245
Haoyu Yue (Pre-doctoral Instructor), [email protected], Schedule Office Hours


Real Estate Analysis in the Information Age: Techniques for Big Data and Statistical Modeling

By Kimberly Winson-Geideman, Andy Krause, Clifford A. Lipscomb, Nick Evangelopoulos (2018)

Course Use Only! This book is provided exclusively for students enrolled in RE 519 at the University of Washington. It is intended for educational use only and may not be copied, shared, or distributed outside of this course. All rights remain with the original copyright holder. Students are expected to respect copyright law and use this material solely for their personal study in this class. Accessing those materials requires a UW NetID login.

Acknowledgement and Introductions

Part 1: Data

Chapter 1: Traditional Real Estate Data

Chapter 2: Big Data

Part 2: Tools and Processes

Chapter 3: Software Tools for Real Estate Analysis

Chapter 4: The Analytical Workflow

Chapter 5: Gathering Real Estate Data

Chapter 6: Data Management

Chapter 7: Data Preparation

Part 3: Modeling and Analysis

Chapter 8: Exploratory Data Analysis

Chapter 9: Data Cleaning: Techniques to Deal with Outliers, Errors, and Missing Data (photocopy edition)

Chapter 10: Modeling Real Estate Prices

Chapter 11: Analysis of Unstructured Text (photocopy edition)

Chapter 12: Real Estate Analysis Case Study

Chapter 13: The Legalities of Big Data

Chapter 14: The Future of Big Data


Back to Top
Built on Just the Class developed by Kevin Lin at Allen School