Have you taken George Dell's entry-level class, Stats, Graphs, and Data Science 1?

And you want more?

Join us in Oakland, CA to help build the future of appraisal. We will be teaching a deeper introduction to R using RStudio to build on the data science theory we began in Stats, Graphs, and Data Science 1. We will briefly present the alternative products and services with which asset analysts will provide added value to their current experience, education, and competencies.  These include:

1. Value in Exchange
2. Market Value (rigorous)
3. Intrinsic Value
4. Forecast Values (3mo., 1yr., 3 yrs.)

All built on the concept of reproducible analysis leading to risk scoring and portfolio and risk management services.

We consider the differences meant for your analyst eyes and brain and that of the ability of clients to fully comprehend your work to further what is important to them: Collateral risk and Investment potential decisions. 

We emphasize how this “do it yourself” analytics software can speed your current work, while dramatically improving your quality, and marketability to clients.  (“Bulletproofing” your work.)

There is a constant connect between the mechanics of the tools, summary numbers, and graphs – and the underlying appraisal theory with data science principles.

Core analysis tools from Stats, Graphs, and Data Science are presented in R.

Methods for objective data selection the CMS (Competitive Market Segment^©), tools for identifying value predictors (‘elements of comparison’) are discussed.  We consider the natural advantages of Evidence Based Valuation^© in litigation cases, where there is a premium for factual clarity, logical reasoning, and understandability to the court system.

Bruce Hahn, MAI, SRA, ASA, will round out the day presenting how he uses R in his practice with reporting packages. 

George Dell, SRA, MAI, ASA, CRE, CDEI is the instructor.