Data Preparation for Analytics and Predictive Modelling

Course Objectives

This course covers the technical concepts and business considerations needed to prepare data for specific analytics/predictive modelling requirements. This covers viewing analytic data preparation in the context of the business, identifying the specifics for the analytical variables design and creation using SAS programming.

In addition, this course provides the techniques to spot and avoid common pitfalls that compromise the quality and integrity of the data being used to for analytical data preparation.

Course Content

  • Module I
    1. Data Preparation: Business Point of View
    2. Data Structures and data modeling
  • Module II
    1. Designing analytical variables
    2. Do’s and Don’ts in analytical data prep
    3. Use Cases:
      • Preparing data for Segmentation
      • Preparing data for Predictive Modeling
      • Building a Customer Data Mart
    • Makati
    • +63 2 8891 0713
    • +63 2 8751 6482

    • Intramuros
    • +63 2 8524-5572
    • Intramuros
    • 658 Muralla St., Intramuros, Manila 1002, Philippines

    • Makati
    • 333 Sen. Gil Puyat Ave., Makati City 1200, Philippines