Course

Course Summary
Credit Type:
Course
ACE ID:
STAT-0035
Organization's ID:
700
Organization:
Statistics.com
Length:
4 weeks (60 hours)
Dates Offered:
Credit Recommendation & Competencies
Level Credits (SH) Subject
Upper-Division Baccalaureate 3 data mining
Description

Objective:

The course objective is to teach how to find appropriate voter targets, design survey instruments, and assess the effectiveness of voter contacts, as well as implement various predictive models and testing methods to choose optimal campaign messages and media.

Learning Outcomes:

  • find voter targets that are appropriate to a campaign phase
  • assess the effectiveness of a voter contact
  • designing a survey instrument for use in a predictive model
  • implement predictive models with voter data
  • add uplift modeling to predict whether a voter responds better with a "treatment"
  • conduct an A-B test
  • include test or no-test indicator as a predictor

General Topics:

  • Background and basic campaign concepts
  • Traditional targeting vs. individual level modeling and beginning the modeling process
  • The modeling process in detail
  • Persuasion (uplift) modeling
Instruction & Assessment

Instructional Strategies:

  • Case Studies
  • Computer Based Training
  • Discussion
  • Practical Exercises

Methods of Assessment:

  • Quizzes
  • Project

Minimum Passing Score:

80%
Supplemental Materials