Feature Engineering and Data Preparation for Analytics
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.
Learn how to
Who should attend
This course assumes some experience in both predictive modeling and SAS programming. Before attending this course, you should have
This course addresses Base SAS, SAS/STAT software.
Extracting Relevant Data
|Dates||Location||Time||Language||Fee||Add to Cart|
|18-20,25-27 APR 2018||Live Web||01:00 PM-04:30 PM EDT||English||2100 USD / 4.2 EPTO|
|09-11 MAY 2018||Boston, MA||09:00 AM-05:00 PM EDT||English||2100 USD / 4.2 EPTO|
|01-03 AUG 2018||Chicago, IL||09:00 AM-05:00 PM CDT||English||2100 USD / 4.2 EPTO|
|28-30 NOV 2018||Atlanta, GA||09:00 AM-05:00 PM EST||English||2100 USD / 4.2 EPTO|