"The class was by far the best I have ever had in 31 years of appraising."
Class is held online over four sessions, 3.5 hours per session.
Stats, Graphs, and Data Science 2, is for returning students of Valuemetrics Stats, Graphs, and Data Science 1, and continues on the foundations learned in SGDS1. Building on those foundations, students learn in depth, breadth, and detail. We continue examination of the theory, concepts, and practice of data science as applied to asset analytics. The learning follows the development sequence of valuation and risk analytics. Starting from the problem identification (scope of work) in measurable terms, we proceed to:
This class is experienced in R, RStudio, and R packages, including ggplot2 and tidyverse. A comparison and integration of spreadsheet software is provided for workflow efficiency.
Specific analytics include non-linear price indexing, seam regression, introduction to GIS in R, Data selection algorithms (particularly hierarchical cluster analysis), sources of help for R. Also resolution of conflicts in USPAP, AI-SVP, IVS, and EBV© (Evidence Based Valuation) practice, and reporting in a data-stream delivery through dashboard views.
In addition to George Dell, SRA, MAI, ASA, CRE, as your instructor, other Instructors for this class include Bruce Hahn, CCIM, MAI, SRA, John Fariss, MNAA, and Charles Abromaitis AACI, P. App.
Bruce Hahn is an independent fee appraiser, applying R analytics to residential and other assignments from Reno, NV.
John Fariss is an independent fee appraiser, applying R analytics to residential assignments in Bakersfield, CA
Charlie Abromaitis is the pioneer in the practical application of statistical/analytics software for valuation, from London, Ontario, Canada
All instructors are leading members of the Community of Asset Analysts©
Included:
Bonuses:
Reference Book, Handouts, R script.
50% Complete
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