Stats, Graphs, and Data Science: Evidence-Based Valuation© Valuemetrics.info
2-day 15 CE Hours
NOTE: Laptop computer required
This hands-on workshop introduces and exploits “big data” tools, computation, and predictive methods for valuation. It emphasizes applied solution-based learning, using real data, for objective evidence-based results. Data science results are simpler, more useful, and intuitively sensible.
The intent of this seminar is that students leave with these immediately useful skills:
- Apply visual methods to structure assignments and define competitive market segments.
- Classify and technically quantify comparable data selection.
- Adjust and interpolate, using contrasting and simple regression calculations.
- Explain practical differences in calculated, estimated, and biased adjustment estimators.
- Hear and learn of the complexities, pitfalls, hype, and flim-flam around multiple regression.
- See the potential of real data analysis software, such as open-source R and RStudio.
Open-source analytics software is provided, as well as example data sets and templates for use in form and narrative reporting. The use of these tools is particularly useful for sparse-data appraisal problems through the support of location (spatial), and price indexing (time) adjustments. Local commercial and/or residential data sets are used in presented examples
This course is prerequisite to intermediate and advanced courses offered by Valuemetrics.info education, leading to auditable valuation practices.
Attendees must register for this course on George Dell’s Website – http://Valuemetrics.info and use the coupon code CATAPREPAID when you register.
For more information see http://valuemetrics.info, or the blog at http://georgedell.com.
Instructor: George Dell