Predictive Modeling for Public Policy Analysis
( 25 Modules )

Module #1
Introduction to Predictive Modeling
Overview of predictive modeling, its applications in public policy, and course objectives

Module #2
Data Preparation for Public Policy Analysis
Collecting, cleaning, and preprocessing data for policy analysis

Module #3
Introduction to Statistical Modeling
Review of statistical concepts, hypothesis testing, and confidence intervals

Module #4
Simple Regression Analysis
Introduction to simple linear regression, estimation, and inference

Module #5
Multiple Regression Analysis
Introduction to multiple linear regression, interpretation, and model building

Module #6
Model Evaluation and Selection
Metrics for evaluating model performance, overfitting, and model selection techniques

Module #7
Introduction to Machine Learning
Overview of machine learning, supervised and unsupervised learning, and popular algorithms

Module #8
Decision Trees and Random Forests
Introduction to decision trees, random forests, and their applications in policy analysis

Module #9
Logistic Regression
Introduction to logistic regression, odds ratios, and interpretation

Module #10
Time Series Analysis
Introduction to time series analysis, ARIMA, and forecasting

Module #11
Panel Data Analysis
Introduction to panel data, fixed and random effects models, and applications

Module #12
Causal Inference
Introduction to causal inference, identification strategies, and potential outcomes framework

Module #13
Instrumental Variables
Instrumental variables, identification, and estimation

Module #14
Regression Discontinuity Design
Introduction to regression discontinuity design, estimation, and inference

Module #15
Difference-in-Differences
Introduction to difference-in-differences, estimation, and inference

Module #16
Predictive Modeling in Public Health Policy
Applications of predictive modeling in public health policy, case studies, and best practices

Module #17
Predictive Modeling in Economic Policy
Applications of predictive modeling in economic policy, case studies, and best practices

Module #18
Predictive Modeling in Education Policy
Applications of predictive modeling in education policy, case studies, and best practices

Module #19
Predictive Modeling in Environmental Policy
Applications of predictive modeling in environmental policy, case studies, and best practices

Module #20
Predictive Modeling in Criminal Justice Policy
Applications of predictive modeling in criminal justice policy, case studies, and best practices

Module #21
Ethics and Transparency in Predictive Modeling
Ethical considerations, transparency, and accountability in predictive modeling for policy analysis

Module #22
Model Interpretation and Communication
Techniques for interpreting and communicating predictive models to stakeholders

Module #23
Advanced Topics in Predictive Modeling
Topics such as deep learning, natural language processing, and geospatial analysis

Module #24
Case Studies in Predictive Modeling for Public Policy
Real-world case studies of predictive modeling applications in public policy

Module #25
Course Wrap-Up & Conclusion
Planning next steps in Predictive Modeling for Public Policy Analysis career

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Predictive Modeling for Public Policy Analysis ( 25 Modules )

Predictive Modeling for Public Policy Analysis
( 25 Modules )