Course

Credit Type:
Course
ACE ID:
STAT-0059
Version:
1
Organization:
Statistics.com
Location:
Online
Length:
4 weeks
Minimum Passing Score:
80
ACE Credit Recommendation Period:
Credit Recommendation & Competencies
Level Credits (SH) Subject
Upper-Division Baccalaureate 3 Predictive Modelling Practicum
Description

Objective:

The course objective is for students to apply data mining techniques in a real-world case study. The case study concerns microtargeting in political campaigns, but the principles apply equally to any marketing campaign involving individual-level messaging. This course is a “lab” for practically testing one's skills in a real-world context.

Learning Outcomes:

  • Develop predictive models and integrate the results of A-B tests for an uplift model.
  • Improve single model performance using ensembles.
  • Prepare data for a predictive modeling task.
  • Implement models for a real decision scenario.
  • Assess model performance.

General Topics:

  • Background and Basic Campaign Concepts
  • Developing Predictive Models
  • Combining Models
  • Implementation and Actions
Instruction & Assessment

Instructional Strategies:

  • Discussion
  • Textbook readings

Methods of Assessment:

  • Other
  • Capstone case study project, graded practical exercises, and discussion forums
Supplemental Materials
Equivalencies

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