If you are in the banking/finance, healthcare, insurance industry, chances are the programming language of choice for your company is SAS.
Predictive Modeling is all about predicting an outcome (outcome/response variable), based on a bunch of predictors. In this course, we will work through an example where we are interested in predicting a customers Loan Status based on a bunch of historical data (the predictors).
Predictive Modeling is an attractive option because it brings a ton of value to any organization. However, it is also on the higher end of the complexity spectrum when compared to some other business analytic options. The complexity in utilizing predictive modeling largely manifests in the number of steps required and the expertise required for some of the steps. This course is designed to reduce and/or eliminate these issues.
I've been a course instructor in the data science sphere for about 3 years. I have a particular passion for statistics/statistical programming and predictive modeling. I learned programming partly through school and partly self-teaching. At one point I was a Graduate student in Educational Psychology but decided at some point during that program that teaching and creating online content in the data science sphere was even a bigger passion.
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