Stats, Graphs, and Data Science1

Oakland, CA January 30 & 31, 2019

Early Registration Closes January 22nd









Hosted by the Northern California Chapter of the Appraisal Institute

Class will be held at Radisson Hotel Airport offering FREE PARKING!

AI Members Register Here
All Others Register Here

Stats, Graphs, and Data Science1 is a workshop applying modern data science methods, predictive analysis, and evidence-based© valuation, emphasizes hands-on activity-based learning using real data. Laptop required for this course.
Students will leave with two basic analytical modeling tools: adjustment calculation using contrasting, and simple regression.  
Objective data selection and its importance is presented by the use of visual plots. Summary statistics in market selection and for comparison support is also introduced.
These tools are particularly useful for sparse-data appraisal problems through support of location adjustments and price indexing of older data.
R, (with RStudio), one of the most widely used data analysis software programs is introduced and compared to traditional accounting spreadsheet add-ons. 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. Laptop required for this hands-on course.

 Included with this class:

  • Hands-on Instruction
  • Open-source spreadsheet and data analysis software
  • State CE Certification for California and most other states
  • Student attendance certificate provided at the end of class


Lunch provided on the first day of class.

Free Open Source Software Provided.

Free Reference Book, Handouts, and Practice Data Sets. 

Half-Price Tuition for Returning Students (conditions apply).

Before January 22:

AI Members: $295

All Others: $315

After January 22:

AI Members: $315

All Others: $335

AI Members Register Here
All Others Register Here

50% Complete

Two Step

Lorem ipsum dolor sit amet, consectetur adipiscing elit, sed do eiusmod tempor incididunt ut labore et dolore magna aliqua.