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Wisconsin ADA 2023 class

The Coleridge Initiative, in partnership with the Wisconsin Department of Workforce Development, hosted a training class focused on unemployment to reemployment transitions inspired by the previous ETA-sponsored classes in 2020 and 2021. The program provided instruction on using big data tools, including SQL and R. Participants worked in teams to apply these methods on linked unemployment and wage data to develop research and data products to better understand program claimant behavior and outcomes.

This repository contains the class materials for the Wisconsin Applied Data Analytics training program.

Data Sources Used for the Class:

  • Wisconsin Program for Measuring Insured Unemployed Statistics (PROMIS) data
  • Wisconsin Unemployment Insurance Wage Records

Class Program

Day 1 - Overview, Project Scoping, and Privacy, Confidentiality, and Ethics

Day 2 - Dataset Introductions and Project Scoping

Day 3 - Exploratory Data Analysis/Cross-Section

Day 4 - Cohort Analysis

Day 5 - Record Linkage and Data Model

Day 6 - Measurement

Day 7 - Missingness and Inference Errors

Day 8 - Visualization

Day 9 - Project Status Presentations

Day 10 - Characterizing Demand

Day 11 - Supervised Machine Learning

Day 12 - Communicating Results and Exporting Data