3-Hour Understanding Data Analysis, The Basics !!COMING SOON!!

Description

PLEASE NOTE: THIS COURSE IS NOT YET APPROVED FOR CREDIT TOWARDS LICENSE RENEWAL.  IT IS FOR REVIEW ONLY!!!

Appraisers have access to multiple tools to develop and support adjustments provided by MLS systems, independent developers that have templates using excel, and open source applications like Python or R-Studio. Appraisal blogs often have complaints that the tools do not work. It is the common “Garbage In Garbage out” phrase applied. Preparing the data for use in any tool is 80% of the effort. If the data is not cleaned and transformed no tool will provide credible or reliable results.   

Participants will learn how to effectively clean and transform the data and how to interpret and apply the results obtained from the tool of the appraiser’s choice  to support the development of a reliable opinion of value. 

The course is the first of a series of courses  an appraiser can take being developed by the instructor or can be supplements for courses provided by others. Three key takeaways from this course are:

1. Data Interpretation and Application: While appraisers don’t need to be experts in math, statistics, artificial intelligence, or computer programming, they must understand how to clean, transform, interpret and apply the data to be usable in the  tools available to them. 
2. Automated Valuation Models (AVMs): AVMs should not be viewed as competition but as an additional data point for analysis. The real competition comes from the data scientists and analysts who develop these models. As universities churn out new experts in data analysis, appraisers must stay informed and adapt to this evolving landscape.
3. Body of  Knowledge: This course equips appraisers with the skills to harness the power of data and technology, ensuring they remain competitive and relevant in today’s data-driven appraisal environment.