Stats, Graphs, and Data Science¹

A workshop applying modern data science methods, predictive analysis, and evidence-based valuation^©, that emphasizes hands-on activity-based learning using real data. Laptop required for this course. No iPads or Android tablets.
 
Students will leave with two immediately useful and fast 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 emphasized.
 
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. Excel application is as also shown. Laptop required for this hands-on course! No iPads or Android tablets.

 Included with this class:

• Hands-on Instruction
• Open-source spreadsheet and data analysis software
• State CE Certification for Wisconsin (pending) and surrounding states
• Student attendance certificate provided at the end of class

Bonuses: 

Reference Book, Handouts, and Practice Data Sets also provided. 

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

75% off tuition for current subscribers to The Asset Analysts Report 

Cost: list price: $345 before April 1st. After April 1st: $365.

Cost with TAAR discount before April 1st: $86.25

After April 1st: $91.25