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.
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 South Carolina 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).
A separate registration is required to attend the SCPAC Annual Conference.
Before February 22:
SCPAC Members: $265
All Others: $295
After February 22:
SCPAC Members: $295
All Others: $325