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Join George Dell and others from the CAA Online October 14, 15, 29, 30, 2026 for this upper-level class, Stats, Graphs and Data Science 2. Each class session starts at 11:00 PM Pacific time.
Transform market data into clear and defensible value conclusions without relying on guesswork or rules of thumb.
Join George Dell, SRA, MAI, ASA, CRE, for one of his flagship courses, Stats, Graphs, and Data Science 2. Explore more prompt creation using generative AI.
This 14-hour continuing education workshop is tailored for appraisers and analysts eager to:
- Enhance their support for adjustments
- Navigate confidently through limited or outdated data
- Transition from “eyeballing” to a transparent, data-driven analysis approach
Engage hands-on with real market data to:
Get more comfortable with two practical tools for immediate use with AI prompts:
- Adjustment calculations using contrasting
- Simple regression models for rapid, credible support
- Analyze data objectively with visual plots
- Use summary statistics to define and validate market segments
- Apply one of the three fundamental adjustment/predictive methods
- Address sparse-data challenges, such as thin location data and price indexing for older sales
Utilize cutting-edge software and workflows:
- Work directly in R with RStudio, which is open-source and free
- Compare R with spreadsheet add-ons
- Receive guided setup support post-registration
- Learn how Excel can still be integrated into a modern workflow
Logistical details:
- Dates: Oct. 14, 15, 29, 30, 2026
- Schedule: 10:45 AM Pacific for check-in, 11:00 AM–2:30 PM instruction for each day of class
- Location: Zoom - Continuing Education: 14 hours, approved in most U.S. states.
Upon completion, you’ll gain:
- A more defensible, evidence-based valuation process- Reusable AI Prompts, R/RStudio tools
- CE credit (where approved) and an attendance certificate
If you’re ready to incorporate modern data science and AI prompts into your appraisal practice, this course offers a practical starting point.
TX provider number: 26-ACEP, course number: 03307-ACE