In week 7 of BAN 7002, we tied all of the SAS skills we have been learning thus far into one conhesive project. This involved using all the DATA and PROC steps we have utilized so far to organize, cleanse, re-structure and model data on House prices and the various factors that make up a home’s value in order to build a model that can adequately predict house prices using regression modeling techniques. This project incorporates all the skills into a real-life, relatable way that this coding language can be used to efficiently and effectively manipulate data to produce meaningful information.
The challenge of this project will be to rely on the skills we have learned but identify which data step and proc step to use to most efficiently reach the solutions we are seeking. All in all, this will be a very cohesive way to sum up what we have learned so far in this course in SAS before we move on to the R programming language.
