- Level Professional
- المدة 14 ساعات hours
- الطبع بواسطة University of Michigan
-
Offered by
عن
Deepen your understanding of the power and politics of data in the public sector, including how values — in addition to data and evidence — are always part of public sector decision-making. 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. All coursework is completed in RStudio in Coursera without the need to install additional software. This is the fourth and final course within the Data Analytics in the Public Sector with R Specialization. The series is ideal for current or early-career professionals working in the public sector looking to gain skills in analyzing public data effectively. It is also ideal for current data analytics professionals or students looking to enter the public sector.الوحدات
Welcome to The Politics of Data in the Public Sector
1
Discussions
- Meet Your Fellow Learners
1
Videos
- Introduction to Course 4: The Politics of Data in the Public Sector
3
Readings
- Course Syllabus
- Course Glossary
- Help Us Learn About You
Politics & Ethical Challenges in Data Analytics
1
Discussions
- Ethical Situations for Data Analytics
5
Videos
- 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
1
Readings
- Required Reading: A Primer on Powerful Numbers
RStudio Lab
1
Labs
- RStudio Lab
Week 1 Wrap-Up
1
Assignment
- Week 1 Quiz: The Power and Politics of Data
1
Videos
- One More Thing for this Week: 8 Principles of Open Government Data
1
Readings
- Optional Readings: The Power and Politics of Data
Ethical Challenges in the Profession
2
Discussions
- Social Issues Impact on Populations
- Social Issues Impact on Populations
1
Labs
- R Code and .rmd File for Videos Ahead
9
Videos
- 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
Responding to Ethical Challenges in the Profession
1
Discussions
- Reflecting on the Cancer Staging System Wisconsin Case Study
3
Videos
- Professional Ethics: Responding to Challenges
- Professional Ethics: Example of a Responding to Challenges
- Cancer Staging System Wisconsin Case Study
Week 2 Wrap-Up
1
Assignment
- Week 2 Quiz: Professional Ethics for Data Analysts
1
Readings
- Week 2 Optional Readings & Resources
Capstone Project: Pensions for the Poor in Mexico
1
Assignment
- Capstone Assignment Check
1
External Tool
- Submit Data Visualization & Make a Recommendation
3
Videos
- 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)
3
Readings
- Mexico Case Study “Pensions for the Poor”
- Capstone Assignment Instructions
- Pensions for the Poor in Mexico: Case Study Debrief
Series Wrap-Up
1
Videos
- Congratulations on Earning the Data Analytics in the Public Sector Certificate
1
Readings
- Post Series Survey
Auto Summary
Discover the power and politics of data in the public sector with this engaging course, led by Coursera. Dive into ethical challenges and frameworks while utilizing RStudio for hands-on experience. Ideal for current or aspiring public sector professionals and data analysts, this 840-minute course concludes the Data Analytics in the Public Sector with R Specialization. Enhance your skills through real-world case studies and applied policy analysis, available with a Starter subscription.

Christopher Brooks

Paula Lantz