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Christopher Brooks and Paula Lantz

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.

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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.

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Syllabus

Week 1: The Power and Politics of Data
Welcome to the fourth and the last course in the Data Analytics in the Public Sector with R Certificate— Politics and Ethics of Data Analytics in the Public Sector. This week, you will begin to develop a competent understanding of politics and ethical challenges in data analytics.
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Designed for public sector professionals seeking data analytics skills or students entering the field
In-demand data analytics skills for the public sector
Builds on previous courses in the specialization, providing a comprehensive learning experience
Provides practical, hands-on learning through case studies and real-world data analysis
Capstone project allows learners to apply their knowledge to a real-world policy analysis

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Reviews summary

Politics and ethics in public sector data

According to learners, this course on Politics and Ethics of Data Analytics in the Public Sector offers a deep understanding of data's power and politics in public sector decision-making. Students appreciate the focus on common ethical challenges, including participation bias and identifying bias in predictive machine learning models. The course provides valuable frameworks, codes of ethics, and professional guidelines. The capstone project, utilizing authentic real-world data in RStudio, is seen as a highly practical experience for public sector professionals.
Highly relevant for professionals working or entering the public sector.
"As someone in the public sector, this course directly addressed challenges I face daily."
"The focus on data analytics for public policy was precisely what I was looking for."
"This specialization is ideal for early-career professionals wanting to gain skills in analyzing public data."
Offers a practical capstone project using real-world data and RStudio.
"The capstone project using authentic data in RStudio was a fantastic way to apply what I learned."
"I appreciated the hands-on policy options analysis; it felt very relevant to my work."
"It was great to complete all coursework in RStudio in Coursera without needing to install software."
Explores critical ethical issues and provides actionable frameworks.
"I gained a deeper understanding of the ethical challenges inherent in public sector data analytics."
"The course really helped me navigate the politics and ethics of data in decision-making."
"Learning about the various codes of ethics and professional guidelines was incredibly valuable."

Activities

Be better prepared before your course. Deepen your understanding during and after it. Supplement your coursework and achieve mastery of the topics covered in Politics and Ethics of Data Analytics in the Public Sector with these activities:
Compile a Glossary of Key Terms and Concepts
Create a glossary of key terms and concepts to enhance your understanding and recall of course material.
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  • Identify and define key terms and concepts from the course.
  • Compile the terms and definitions into a glossary document.
Explore RStudio and Markdown for Data Analysis
Familiarize yourself with the RStudio environment and Markdown syntax for data analysis.
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Show steps
  • Complete online tutorials or watch videos on RStudio and Markdown.
  • Practice writing R code and Markdown in RStudio.
Review Data Management and Statistical Concepts
Refresh your understanding of data management and statistical concepts to strengthen your foundation for the course.
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  • Review notes or textbooks on data management and statistics.
  • Practice solving basic statistical problems in R.
Five other activities
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Show all eight activities
Plan an Applied Policy Options Analysis Project
Develop a plan for an applied policy options analysis project that you will work on throughout the course.
Browse courses on Public Policy Analysis
Show steps
  • Identify a specific public policy issue you want to analyze.
  • Determine the data sources and methods you will use for your analysis.
  • Develop a timeline for completing your project.
Practice Data Wrangling and Exploration Techniques
Gain proficiency in data wrangling and exploration techniques through hands-on practice.
Browse courses on Data Wrangling
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  • Load and clean datasets in R.
  • Perform exploratory data analysis using R functions and visualization techniques.
Attend a Workshop on Ethical Considerations in Data Analysis
Deepen your understanding of ethical considerations in data analysis by attending a workshop or webinar.
Browse courses on Data Ethics
Show steps
  • Research and identify relevant workshops or webinars.
  • Attend the workshop or webinar and actively participate in discussions.
Develop a Data Analysis and Visualization Report
Create a comprehensive data analysis and visualization report as the final deliverable for your applied policy options analysis project.
Browse courses on Data Analysis
Show steps
  • Analyze your data and identify patterns and trends.
  • Create visualizations to present your findings clearly and effectively.
  • Write a report summarizing your analysis and conclusions.
Volunteer in a Data-Driven Organization
Gain practical experience in applying data analytics skills in a real-world setting.
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Show steps
  • Research and identify organizations that use data analytics in their work.
  • Contact the organization and inquire about volunteer opportunities.
  • Participate in data-related projects or initiatives.

Career center

Learners who complete Politics and Ethics of Data Analytics in the Public Sector will develop knowledge and skills that may be useful to these careers:
Public Administrator
A Public Administrator manages and oversees public programs and services. Public Administrators work in a variety of settings, including government agencies, non-profit organizations, and educational institutions. By gaining an understanding of the power and politics of data in the public sector and the ethical challenges associated with data analytics, you will be better equipped to manage public programs and services effectively and ethically.
Public Policy Specialist
A Public Policy Specialist develops and implements public policies. Public Policy Specialists work in a variety of settings, including government agencies, think tanks, and non-profit organizations. By gaining an understanding of the power and politics of data in the public sector and the ethical challenges associated with data analytics, you will be better equipped to develop and evaluate public policies that are based on evidence.
Policy Analyst
A Policy Analyst researches, analyzes, and develops public policies. Policy Analysts work in a variety of settings, including government agencies, think tanks, and non-profit organizations. By gaining an understanding of the power and politics of data in the public sector and the ethical challenges associated with data analytics, you will be better equipped to develop and evaluate public policies that are based on evidence.
Statistician
A Statistician collects, analyzes, and interprets data. Statisticians work in a variety of fields, including public policy, healthcare, and finance. By gaining an understanding of the power and politics of data in the public sector and the ethical challenges associated with data analytics, you will be better equipped to use data to make informed decisions and develop effective solutions.
Data Analyst
A Data Analyst collects, analyzes, and interprets data. Data Analysts work in a variety of fields, including public policy, healthcare, and finance. By gaining an understanding of the power and politics of data in the public sector and the ethical challenges associated with data analytics, you will be better equipped to use data to make informed decisions and develop effective solutions.
Data Scientist
A Data Scientist uses data to solve problems and make predictions. Data Scientists work in a variety of fields, including finance, healthcare, and technology. By gaining an understanding of the power and politics of data in the public sector and the ethical challenges associated with data analytics, you will be better equipped to use data to make informed decisions and develop effective solutions.
Economist
An Economist studies the production, distribution, and consumption of goods and services. Economists work in a variety of fields, including public policy, finance, and academia. By gaining an understanding of the power and politics of data in the public sector and the ethical challenges associated with data analytics, you will be better equipped to use data to analyze economic trends and develop effective economic policies.
Survey Researcher
A Survey Researcher develops, designs, and conducts surveys to collect data for research purposes. Survey Researchers can work in a variety of fields, including public policy, marketing, and healthcare. By gaining an understanding of the power and politics of data in the public sector and the ethical challenges associated with data analytics, you will be better equipped to create and conduct surveys that collect accurate and reliable data. This course can help you develop the skills and knowledge needed to be a successful Survey Researcher.
Nonprofit Manager
A Nonprofit Manager oversees the operations of a nonprofit organization. Nonprofit Managers work in a variety of fields, including social services, healthcare, and education. By gaining an understanding of the power and politics of data in the public sector and the ethical challenges associated with data analytics, you will be better equipped to manage nonprofit organizations effectively and ethically.
Sociologist
A Sociologist studies the social behavior and interactions of people. Sociologists work in a variety of fields, including public policy, academia, and market research. By gaining an understanding of the power and politics of data in the public sector and the ethical challenges associated with data analytics, you will be better equipped to use data to understand social trends and develop effective social policies.
Political Scientist
A Political Scientist studies the political systems and processes of government. Political Scientists work in a variety of fields, including public policy, academia, and journalism. By gaining an understanding of the power and politics of data in the public sector and the ethical challenges associated with data analytics, you will be better equipped to use data to understand political trends and develop effective political strategies.
Philanthropy Officer
A Philanthropy Officer manages and oversees the fundraising and grant-making activities of a non-profit organization. Philanthropy Officers work in a variety of fields, including healthcare, education, and the arts. By gaining an understanding of the power and politics of data in the public sector and the ethical challenges associated with data analytics, you will be better equipped to develop and implement effective fundraising strategies.
Management Analyst
A Management Analyst studies the organization and management of public and private organizations. Management Analysts work in a variety of fields, including healthcare, education, and government. By gaining an understanding of the power and politics of data in the public sector and the ethical challenges associated with data analytics, you will be better equipped to improve the efficiency and effectiveness of organizations.
Market Research Analyst
A Market Research Analyst studies the market for goods and services. Market Research Analysts work in a variety of fields, including marketing, advertising, and product development. By gaining an understanding of the power and politics of data in the public sector and the ethical challenges associated with data analytics, you will be better equipped to use data to understand consumer trends and develop effective marketing strategies.
Business Intelligence Analyst
A Business Intelligence Analyst uses data to help businesses make better decisions. Business Intelligence Analysts work in a variety of industries, including finance, healthcare, and retail. By gaining an understanding of the power and politics of data in the public sector and the ethical challenges associated with data analytics, you will be better equipped to use data to improve the performance of businesses.

Reading list

We've selected 11 books that we think will supplement your learning. Use these to develop background knowledge, enrich your coursework, and gain a deeper understanding of the topics covered in Politics and Ethics of Data Analytics in the Public Sector.
Explores the ethical challenges posed by big data, including issues of privacy, surveillance, discrimination, and algorithmic bias. It provides a comprehensive overview of the ethical issues surrounding big data and offers practical guidance on how to address these challenges.
Provides a critical analysis of the role of search engines in reinforcing racism and other forms of oppression.
Exposes the dangers of using big data to make decisions about people's lives. O'Neil argues that these algorithms are often biased and unfair, and that they can have a devastating impact on individuals and society as a whole.
Provides an overview of the use of algorithms in society, and the ethical issues that they raise.
Provides a practical guide to using data analytics to improve your business. It covers a wide range of topics, including data collection, analysis, and visualization. It also provides case studies of how businesses have used data analytics to achieve success.
Provides a comprehensive overview of data science for business. It covers a wide range of topics, including data mining, machine learning, and data visualization. It also provides case studies of how businesses have used data science to solve real-world problems.
Provides a practical guide to responsible data science, with a focus on avoiding bias and discrimination.
Provides a comprehensive overview of the data revolution. It covers a wide range of topics, including big data, open data, and data infrastructures.

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