$345.00 USD

Terms and Conditions:

You are agreeing to receive emails from George Dell's Valuemetrics.Info related to this class/event. If you do not subscribe, or elect to unsubscribe to receiving emails, we cannot deliver you emails anymore, even for things you asked/paid for, as all our services are tied to your email address.

If George Dell postpones or cancelled the class due to a large scale over-arching event (natural disaster, adverse weather, disease, pandemic, political unrest, etc) outside of the control of George Dell or his staff, the class will be rescheduled as reasonably soon as possible. If the student is unable to attend on the new dates, their money can be refunded or put toward another Stats, Graphs, and Data Science 1 class, either live or online.

If the Student cancels their attendance of the class UP TO seven (7) days prior to the first day of class, they are eligible for a full refund. After that point, the student will be charged a $25 cancelation fee from Day 7 to Day 1 before the class. If the student elects to cancel after 12:00 PM (NOON) the day before the class, they are not eligible for a refund. If the student does not attend (No Show) on the day of the class, they are not eligible for a refund.

Second Chance Rescheduling

All students who are considering canceling (or do not attend class without canceling in advance) are eligible to put their registration fees toward another Stats, Graphs, and Data Science 1 class offered online or live anywhere in the Continental United States. Contact Cynthia Law, Executive Director at [email protected] for more information or to move your registration to another class.

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2024 SGDS2 June Online

Register Here Now!

Join George Dell Online June 19, 20, 26, 27, 2024 for his next-level class, Stats, Graphs and Data Science2.

For SGDS1 Alumni Only! 

Each class session starts at 11:00 AM, ending at 2:30 PM Pacific time.

14-hours CE1 taught live by George Dell, SRA, MAI, ASA, CRE

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:

  • Identify the overall project data frame;
  • Define the CMS© (Competitive Market Segment), the ideal data set;
  • Resolve the bias-variance tradeoff to optimize accuracy and precision of results;
  • Perform necessary data wrangling (analogical to traditional confirmation/verification)
    • Portray data visually
    • Reduce to the CMS©
    • Detect quantify missing/needed predictor variables
    • Create new calculated fields
    • Transform functional relationships (e.g., linear to logarithmic)
    • Create Transformed data levels
    • Identify and handle outliers
    • Recognize needed predictive confirmation/verification

This class is substantially experienced in R, RStudio, and R packages, including ggplot2 and tidyverse.  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.

Computer with a working webcam and microphone is required for this hands-on course. 

The use of R, (with RStudio), is expanded in class.

These open-source software packages are available at no charge on the Internet. Assistance with download and installation are provided after registration if you need it.

114-hours CE approved in CA, OR, WA, PA, IL, OK, TX, OH, MI.