Applied Data Analytics Program - Department of Labor, Employment, and Training Administration
The Department of Labor’s Employment and Training Administration facilitated an Applied Data Analytics training program for state teams. The particular focus of this training series was on using example data from the state of Illinois, training provider, and wage record data to examine the unemployment to reemployment trajectories of UI benefit claimants and visualize them in a dashboard. The results provided participants with (i) an understanding of how to work with similar data in their own state and (ii) the code necessary to produce a portal similar to the Illinois portal.
This repository contains the class materials for the Department of Labor, Employment, and Training Administration applied data analytics program.
Datasets Used in the Class:
-
Illinois PROMIS Certified Claimant Data
-
Illinois UI Wage Records Data
-
U.S. Bureau of Labor Statistics
-
Opportunity Insights Economic Tracker Data
Class Program:
Day 1 - Introduction, Privacy and Confidentiality, and Project Scoping
Day 2 - Dataset Introduction
Day 3 - Applications of Dataset Exploration
Day 4 - Record Linkage
Day 5 - Applications of Record Linkage
Day 6 - Basics and Applications of Data Visualization
Day 7 - Introduction to Machine Learning
Day 8 - Project Status Presentations
Day 9 - Machine Learning
Day 10 - Machine Learning Application
Day 11 - Inference, Privacy, Confidentiality, and Ethics
Day 12 - Exporting Data
References
The notebooks in this repository were inspired by previous applied data analytics class materials and notebooks.