Stats, Graphs and Data Science: A Hands-on class by George Dell, MAI, SRA, ASA
Hosted by the Greater Oregon Chapter of the Appraisal Institute
CE approved in OR, WA, CA, NV, ID, AK, and some other states.
March 3-4, Setup 8am, Start @ 8:30 to 4:30
Doubletree Hotel, 9575 SW Locust St, Tigard, OR
Get it here -- What is the "New Valuation Modeling Paradigm?"
This is a two-day, practical workshop. Big data appraisal opportunities are addressed.
Useful equally for residential, commercial, and agricultural appraisers, you will see and hear an overview of technical analysis methods, and potentials for future learning. The action emphasis is on your use of basic building blocks to gain practice, and a feel, for these methods which enable better accuracy, reliability, and speed. Visual/statistical tools are easier to understand and use in reports than traditional subjective methods, are quicker to implement, and are more fun to use.
Students are provided with free open-source software with spreadsheet, analytics, and graphs functions. Participants are introduced to new analytical technologies, including an overview of R and RStudio, a "real analytics package."
| Because I am able to support my results with clear statistics, tables and graphs, I receive fewer revision requests and no reviewer ever questions the comps I use, my market analysis or my value conclusions.
Bill McKnight
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Completing the workshop, students will:
- Become aware of the power and usefulness of modern analytical tools
- See painless application of three types of graphs and summary numbers
- Clarify and solve the two separate analytical problems in valuation:
o Objectively delineate and depict your market segment
o Determine or estimate adjustments, and position the subject
- Establish trends, time adjustments, and a specific price index, using scatter graphs and simple regression (1004mc issues are addressed)
- Establish location adjustments: neighborhoods, towns and markets
- Expand the base and reliability of comparable data.
- Improve report credibility and appeal
Cut through the hype on regression. Understand the problems and limitations of canned commercial 'regression' software. Bulletproof data selection issues.
Prerequisites:
This is an introductory basics class. A laptop or portable computer is required. Software will be provided in class, or online prior to the class.
