Description
This intermediate course builds on the foundational concepts introduced in Understanding Data Analysis Concepts and is designed for real estate appraisers seeking to strengthen their ability to analyze and communicate market conditions with clarity and compliance. Using the lens of Market Conditions—also known as Time Adjustments—with primary emphasis on USPAP Advisory Opinions 18 and 37, the course will sharpen your critical and strategic thinking skills while expanding your toolkit for credible, data-supported reporting.
You will explore how to:
- Apply advanced data analysis concepts to identify and interpret market trends.
- Incorporate generative AI as a supportive tool in appraisal analysis.
- Think critically and strategically when defining scope of work.
- Remain compliant with AO-18 and AO-37 while developing time adjustments.
- Differentiate between inflation and property appreciation.
- Evaluate and compare Home Price Index measures with property-specific analytics.
- Analyze linear and seasonal patterns, and determine when to use median vs. mean.
- Decide when and how to roll data up (daily, weekly, monthly, quarterly), especially in cases of thin data.
- Compare the reliability of repeat sales vs. grouped data comparisons.
- Select appropriate tools and visuals to support appraisal conclusions.
- Bring all findings together into a persuasive reconciliation narrative.
A central focus of this course is data storytelling—the ability to move beyond raw data to create a compelling narrative that integrates charts, graphs, and tables with professional judgment. You’ll learn how to simplify visuals for clarity, use annotations to highlight critical points, and structure analysis in a way that guides clients, reviewers, or other stakeholders toward a clear and defensible conclusion.
Through practical examples, case comparisons, and demonstrations of multiple tools—including Automated Valuation Models (AVMs) as a potential method for developing time adjustments—you will gain hands-on experience in identifying rates of change and effectively communicating them. By the end of this course, you’ll have the confidence and skills to transform data into actionable insights, ensuring your appraisal reports are both credible and compelling.
Your Instructor for this course is Keith Wolf.
With over 44 years of experience, Keith is a seasoned Collateral Credit Risk Manager specializing in real estate brokerage, collateral valuation, tax appeal, and portfolio risk management. His extensive background spans underwriting, construction services, regulatory compliance, and vendor management, with a strong focus on innovation through data science, AI, and machine learning.
Keith is the owner of the Real Estate Appraiser Data Analytics group on LinkedIn, where he shares insights on alternative valuation methods and risk modeling. He brings deep expertise in contract negotiation, process improvement, and presenting to rating agencies. Skilled in regression analysis, generative AI, and data visualization, Keith blends technical acumen with decades of market experience to drive informed, strategic decision-making in real estate finance.
View Course Approvals:
Wisconsin
