University of Michigan - Politics and Ethics of Data Analytics in the Public Sector
- Offered byCoursera
- Public/Government Institute
Politics and Ethics of Data Analytics in the Public Sector at Coursera Overview
Duration | 14 hours |
Total fee | Free |
Mode of learning | Online |
Official Website | Explore Free Course  |
Credential | Certificate |
- Overview
- Highlights
- Course Details
- Curriculum
Politics and Ethics of Data Analytics in the Public Sector at Coursera Highlights
- Earn a Certificate upon completion
Politics and Ethics of Data Analytics in the Public Sector at Coursera Course details
- In this course, you will explore common ethical challenges associated with data, data analytics, and randomized controlled trials in the public sector
- You will also navigate and understand the ethical issues related to data systems and data analysis by understanding frameworks, codes of ethics, and professional guidelines
- Using two technical case studies, you will understand common ethical issues, including participation bias in populations and how slicing analysis is used to identify bias in predictive machine learning models
- This course also serves as a capstone experience for the Data Analytics in the Public Sector with R Specialization, where you will conduct an applied policy options analysis using authentic data from a real-world case study
- In this capstone exercise, you will review data as part of policy options analysis, create a visualization of the results, and make a recommendation
Politics and Ethics of Data Analytics in the Public Sector at Coursera Curriculum
Week 1: The Power and Politics of Data
Introduction to Course 4: The Politics of Data in the Public Sector
Review of Politics/Ethics
Terminology: Politics, Values, and Ethics
Why Ethics for Data Analytics Matter
Examples of Ethics Situations for Data Analytics
The Tenets of the United States Data Ethics Framework
One More Thing for this Week: 8 Principles of Open Government Data
Course Syllabus
Course Glossary
Help Us Learn About You
Required Reading: A Primer on Powerful Numbers
Optional Readings: The Power and Politics of Data
Week 1 Quiz: The Power and Politics of Data
Week 2: Professional Ethics for Data Analysts
Measuring Population Bias
Measuring Population Bias: The Study
Measuring Population Bias: The Results
Ethical issues in RCTs
Ethical issues in RCTs: Shadow Interventions
Considering Model Bias
Measuring and Detecting Bias in Machine Learning Algorithms
Measuring Model Bias with Slicing
Common Ethical Issues in Policy Analysis
Professional Ethics: Responding to Challenges
Professional Ethics: Example of a Responding to Challenges
Cancer Staging System Wisconsin Case Study
Week 2 Optional Readings & Resources
Week 2 Quiz: Professional Ethics for Data Analysts
Week 3: Bringing it All Together in a Case Study
Case Study: Providing Pensions for the Poor in Mexico (Part 1)
Case Study: Providing Pensions for the Poor in Mexico (Part 2)
Case Study: Providing Pensions for the Poor in Mexico (Part 3)
Congratulations on Earning the Data Analytics in the Public Sector Certificate
Mexico Case Study "Pensions for the Poor"
Capstone Assignment Instructions
Pensions for the Poor in Mexico: Case Study Debrief
Post Series Survey
Capstone Assignment Check
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