Data Science in Public Policy
( 25 Modules )

Module #1
Introduction to Data Science in Public Policy
Overview of the importance of data science in public policy, key concepts, and applications

Module #2
Understanding Public Policy
Foundations of public policy, policy cycles, and the role of data in policy making

Module #3
Data Science Tools and Technologies
Overview of data science tools and technologies, including Python, R, and SQL

Module #4
Data Sources for Public Policy
Introduction to data sources for public policy, including government datasets, surveys, and sensors

Module #5
Data Cleaning and Preprocessing
Best practices for cleaning and preprocessing data for analysis

Module #6
Data Visualization for Public Policy
Introduction to data visualization tools and techniques for communicating policy insights

Module #7
Descriptive Statistics for Public Policy
Descriptive statistics for summarizing and understanding policy-relevant data

Module #8
Inferential Statistics for Public Policy
Inferential statistics for making inferences from policy-relevant data

Module #9
Machine Learning for Public Policy
Introduction to machine learning algorithms and their applications in public policy

Module #10
Predictive Modeling for Public Policy
Predictive modeling techniques for forecasting policy outcomes and evaluating policy interventions

Module #11
Causal Inference for Public Policy
Introduction to causal inference methods for estimating policy impacts

Module #12
Text Analysis for Public Policy
Introduction to text analysis techniques for analyzing policy-relevant texts

Module #13
Network Analysis for Public Policy
Introduction to network analysis techniques for understanding policy networks

Module #14
GIS and Spatial Analysis for Public Policy
Introduction to GIS and spatial analysis techniques for understanding spatial policy issues

Module #15
Data Ethics and Governance in Public Policy
Ethical considerations and governance framework for using data in public policy

Module #16
Big Data and Public Policy
Opportunities and challenges of big data for public policy

Module #17
Case Study:Data Science in Healthcare Policy
Real-world example of applying data science to healthcare policy

Module #18
Case Study:Data Science in Education Policy
Real-world example of applying data science to education policy

Module #19
Case Study:Data Science in Environmental Policy
Real-world example of applying data science to environmental policy

Module #20
Case Study:Data Science in Economic Policy
Real-world example of applying data science to economic policy

Module #21
Communication and Storytelling for Public Policy
Best practices for communicating policy insights and telling stories with data

Module #22
Data Science and Policy Evaluation
Using data science for policy evaluation and impact assessment

Module #23
Data Science and Policy Development
Using data science for policy development and formation

Module #24
Data Science and Policy Implementation
Using data science for policy implementation and monitoring

Module #25
Course Wrap-Up & Conclusion
Planning next steps in Data Science in Public Policy career

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Data Science in Public Policy ( 25 Modules )

Data Science in Public Policy
( 25 Modules )