Feature Engineering and Data Preparation for Analytics
Course code: DMDP42
This course introduces programming techniques to craft and feature engineer meaningful inputs to improve predictive modeling performance. In addition, this course provides strategies to preemptively spot and avoid common pitfalls that compromise the integrity of the data being used to build a predictive model. This course relies heavily on SAS programming techniques to accomplish the desired objectives.
The self-study e-learning includes:
- Annotatable course notes in PDF format.
- Virtual Lab time to practice.