Este curso forma parte de Programa especializado: Data Analytics in the Public Sector with R

Christopher Brooks +1 instructores más

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Programa especializado: Data Analytics in the Public Sector with RUniversidad de Míchigan

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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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Laboratorios de Coursera

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Curso 4 de 4 en

Programa especializado: Data Analytics in the Public Sector with R

Nivel intermedio

Aprox. 14 horas para completar

Inglés (English)

Fechas límite flexibles

Restablece las fechas límite en función de tus horarios.

Certificado para compartir

Obtén un certificado al finalizar

100 % en línea

Comienza de inmediato y aprende a tu propio ritmo.

Laboratorios de Coursera

Incluye proyectos de aprendizaje prácticos.

Obtén más información sobre los laboratorios de Coursera

Curso 4 de 4 en

Programa especializado: Data Analytics in the Public Sector with R

Nivel intermedio

Aprox. 14 horas para completar

Inglés (English)

Instructores

Christopher Brooks

Assistant Professor

School of Information

784.908 alumnos

14 cursos

Paula Lantz

James B. Hudak Professor of Health Policy

Gerald R. Ford School of Public Policy

3423 alumnos

4 cursos

Ofrecido por

Universidad de Míchigan

Programa - Qué aprenderás en este curso

Semana1

Semana 1

4 horas para completar

Week 1: The Power and Politics of Data

4 horas para completar

7 videos (Total 42 minutos), 5 lecturas, 1 cuestionario

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 lecturas

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

1 ejercicio de práctica

Week 1 Quiz: The Power and Politics of Data30m

Semana2

Semana 2

4 horas para completar

Week 2: Professional Ethics for Data Analysts

4 horas para completar

12 videos (Total 111 minutos), 1 lectura, 1 cuestionario

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 lectura

Week 2 Optional Readings & Resources10m

1 ejercicio de práctica

Week 2 Quiz: Professional Ethics for Data Analysts30m

Semana3

Semana 3

6 horas para completar

Week 3: Bringing it All Together in a Case Study

6 horas para completar

4 videos (Total 23 minutos), 4 lecturas, 2 cuestionarios

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 lecturas

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

1 ejercicio de práctica

Capstone Assignment Check3m

Acerca de Programa especializado: Data Analytics in the Public Sector with R

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

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Politics and Ethics of Data Analytics in the Public Sector

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