This course is part of the Data Analytics in the Public Sector with R Specialization

Christopher Brooks +1 more instructor

Offered By

Data Analytics in the Public Sector with R SpecializationUniversity of Michigan

About this Course

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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.

Flexible deadlines

Reset deadlines in accordance to your schedule.

Shareable Certificate

Earn a Certificate upon completion

100% online

Start instantly and learn at your own schedule.

Coursera Labs

Includes hands on learning projects.

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Course 4 of 4 in the

Data Analytics in the Public Sector with R Specialization

Intermediate Level

Approx. 14 hours to complete

English

Flexible deadlines

Reset deadlines in accordance to your schedule.

Shareable Certificate

Earn a Certificate upon completion

100% online

Start instantly and learn at your own schedule.

Coursera Labs

Includes hands on learning projects.

Learn more about Coursera Labs

Course 4 of 4 in the

Data Analytics in the Public Sector with R Specialization

Intermediate Level

Approx. 14 hours to complete

English

Instructors

Christopher Brooks

Assistant Professor

School of Information

785,906 Learners

14 Courses

Paula Lantz

James B. Hudak Professor of Health Policy

Gerald R. Ford School of Public Policy

3,498 Learners

4 Courses

Offered by

University of Michigan

Syllabus - What you will learn from this course

Week1

Week 1

4 hours to complete

Week 1: The Power and Politics of Data

4 hours to complete

7 videos (Total 42 min), 5 readings, 1 quiz

7 videos

Introduction to Course 4: The Politics of Data in the Public Sector1mReview of Politics/Ethics3mTerminology: Politics, Values, and Ethics8mWhy Ethics for Data Analytics Matter9mExamples of Ethics Situations for Data Analytics9mThe Tenets of the United States Data Ethics Framework4mOne More Thing for this Week: 8 Principles of Open Government Data4m

5 readings

Course Syllabus10mCourse Glossary 10mHelp Us Learn About You10mRequired Reading: A Primer on Powerful Numbers1hOptional Readings: The Power and Politics of Data10m

1 practice exercise

Week 1 Quiz: The Power and Politics of Data30m

Week2

Week 2

4 hours to complete

Week 2: Professional Ethics for Data Analysts

4 hours to complete

12 videos (Total 111 min), 1 reading, 1 quiz

12 videos

Measuring Population Bias9mMeasuring Population Bias: The Study10mMeasuring Population Bias: The Results6mEthical issues in RCTs5mEthical issues in RCTs: Shadow Interventions7mConsidering Model Bias12mMeasuring and Detecting Bias in Machine Learning Algorithms13mMeasuring Model Bias with Slicing13mCommon Ethical Issues in Policy Analysis9mProfessional Ethics: Responding to Challenges6mProfessional Ethics: Example of a Responding to Challenges7mCancer Staging System Wisconsin Case Study8m

1 reading

Week 2 Optional Readings & Resources10m

1 practice exercise

Week 2 Quiz: Professional Ethics for Data Analysts30m

Week3

Week 3

6 hours to complete

Week 3: Bringing it All Together in a Case Study

6 hours to complete

4 videos (Total 23 min), 4 readings, 2 quizzes

4 videos

Case Study: Providing Pensions for the Poor in Mexico (Part 1)11mCase Study: Providing Pensions for the Poor in Mexico (Part 2)2mCase Study: Providing Pensions for the Poor in Mexico (Part 3)7mCongratulations on Earning the Data Analytics in the Public Sector Certificate2m

4 readings

Mexico Case Study “Pensions for the Poor”45mCapstone Assignment Instructions2hPensions for the Poor in Mexico: Case Study Debrief15mPost Series Survey10m

1 practice exercise

Capstone Assignment Check3m

About the Data Analytics in the Public Sector with R Specialization

Every government entity collects and stores millions of data points to perform administrative and legislative duties, allocate resources, and make decisions. Professionals in the public sector need the necessary skills to accurately interpret and inform administrators and policymakers about the meaning behind these data.

This Specialization will equip you with fundamental technical skills using the R programming language to gather, manipulate, analyze, visualize, and interpret data to inform public policy and public administrative functions. Throughout four courses, you will gain new skills using the popular tidyverse packages, such as dplyr for data manipulation and ggplot for visualization. You will identify and address common political and ethical challenges in data analysis, and better understand public administration and public policy concepts using hands-on activities with real-world data sets. This course series is ideal for current or early-career professionals in the public sector looking to gain skills in analyzing public data effectively. There are no prerequisites, though programming experience, ideally with the R language, and basic applied statistics knowledge are recommended. The Google Data Analytics Professional Certificate offers such foundational skills. You will earn a dual badge when you complete the Google Career Certificate and this Specialization. All coursework is completed in RStudio in Coursera without the need to install additional software

Data Analytics in the Public Sector with R

Frequently Asked Questions

When will I have access to the lectures and assignments?
Access to lectures and assignments depends on your type of enrollment. If you take a course in audit mode, you will be able to see most course materials for free. To access graded assignments and to earn a Certificate, you will need to purchase the Certificate experience, during or after your audit. If you don't see the audit option:
The course may not offer an audit option. You can try a Free Trial instead, or apply for Financial Aid.
The course may offer 'Full Course, No Certificate' instead. This option lets you see all course materials, submit required assessments, and get a final grade. This also means that you will not be able to purchase a Certificate experience.
What will I get if I subscribe to this Specialization?
When you enroll in the course, you get access to all of the courses in the Specialization, and you earn a certificate when you complete the work. Your electronic Certificate will be added to your Accomplishments page - from there, you can print your Certificate or add it to your LinkedIn profile. If you only want to read and view the course content, you can audit the course for free.
Is financial aid available?
Yes. In select learning programs, you can apply for financial aid or a scholarship if you can’t afford the enrollment fee. If fin aid or scholarship is available for your learning program selection, you’ll find a link to apply on the description page.

More questions? Visit the Learner Help Center.

Politics and Ethics of Data Analytics in the Public Sector

About this Course