"The class was by far the best I have ever had in 31 years of appraising."
Stats, Graphs, and Data Science2, continues on the foundations of SGDS1 by building on the learning objectives in greater 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 substantially experienced in R, RStudio, and R packages, including ggplot2 and tidyverse. A comparison and integration of Excel® is provided for workflow efficiency. Methods of transition from canned appraisal software and the spreadsheet— to a real analytics package is reviewed.
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 –
Bruce Hahn, MAI, SRA, CRE, will be a second instructor in the class.
Bruce is an independent fee appraiser, applying R analytics to residential and other assignments.
Please note that not all states have approved Virtual education, therefore, registrants MUST CHECK their individual states for approval BEFORE registering for the Program. Before registering for the Program, registrants understand and agree that continuing education credit for this program MAY NOT be available in their state on the date of the Program. George Dell, SRA, MAI, ASA, CRE is not responsible if credit is not available for the Program in individual states. Please note: State exceptions for virtual education may expire PRIOR to the offering date.