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

Christopher Brooks +1 instructores más

Ofrecido Por

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

Acerca de este Curso

7818 vistas recientes

Develop data analysis skills that support public sector decision-makers by performing policy analysis through all phases of the policymaking process. You will learn how to apply data analysis techniques to the core public sector principles of efficiency, effectiveness, and equity. Through authentic case studies and data sets, you will develop analytical skills commonly used to analyze and assess policies and programs, including policy options analysis, microsimulation modeling, and research designs for program and policy evaluation. You will also learn intermediate technical skills, such as Chi-squared tests and contingency tables, comparing samples through t-tests and ANOVA, applying Tukey's honest significant difference to correct for multiple tests, understanding p-values, and visualizing simulations of statistical functions to help answer questions policymakers ask such as “What should we do?” and “Did it work?” In addition, you will practice statistical testing and create ggplot visuals for two real-world datasets using the R programming language.
All coursework is completed in RStudio in Coursera without the need to install additional software.

This is the third of four courses 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.

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.

Curso 3 de 4 en

Programa especializado: Data Analytics in the Public Sector with R

Nivel intermedio

Aprox. 16 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.

Curso 3 de 4 en

Programa especializado: Data Analytics in the Public Sector with R

Nivel intermedio

Aprox. 16 horas para completar

Inglés (English)

Instructores

Christopher Brooks

Assistant Professor

School of Information

774.902 alumnos

14 cursos

Paula Lantz

James B. Hudak Professor of Health Policy

Gerald R. Ford School of Public Policy

2642 alumnos

4 cursos

Ofrecido por

Universidad de Míchigan

Programa - Qué aprenderás en este curso

Semana

Semana 1

4 horas para completar

Week 1 | Policy Frameworks & Types of Policy Analysis

4 horas para completar

8 videos (Total 50 minutos), 4 lecturas, 2 cuestionarios

8 videos

Introduction to Course 3: Assisting Public Sector Decision Makers with Data and Policy Analysis1m

What is Policy and Why it Matters7m

Policy Typology10m

Facts About Public Policy2m

Policy Typology—Examples9m

The Policy Making Process5m

Policy Analysis: Definitions & Examples6m

Policy Analysis: Role of Data Analytics in the Policy Analysis7m

4 lecturas

Course Syllabus15m

Course Glossary of Terms10m

Help Us Learn About You10m

Week 1 Optional Readings & Resources10m

2 ejercicios de práctica

Policy Typology Knowledge Check20m

Week 1 Quiz: Policy Frameworks & Types of Policy Analysis30m

Semana

Semana 2

4 horas para completar

Week 2 | Prospective Policy Analysis: What Should We Do?—Part 1

4 horas para completar

7 videos (Total 70 minutos)

7 videos

Framework for Policy Options Analysis—Part 13m

Framework for Policy Options Analysis—Part 27m

Introduction to Inferential Statistical Analysis in R2m

Chi-squared Tests of Association13m

t-Tests of Difference in Means12m

ANOVA Models12m

p-Values & Simulation17m

3 ejercicios de práctica

Knowledge Check: Policy Options Analysis20m

t-Tests of Difference in Means: Practice & Knowledge Check20m

Week 2 Quiz: EDA & Inferential Statistical Analysis in R2h

Semana

Semana 3

3 horas para completar

Week 3 | Prospective Policy Analysis: What Should We Do?—Part 2

3 horas para completar

9 videos (Total 60 minutos), 1 lectura, 2 cuestionarios

9 videos

Introduction to Policy Simulation Modeling5m

Examples of Policy Simulation Models4m

Economic Analysis in Simulation Modeling: Cost-Benefit Analysis5m

Economic Analysis in Simulation Modeling: Cost-Effectiveness Analysis6m

Dealing with Uncertainty: Sensitivity Analysis6m

Example of Sensitivity Analysis to Deal with Uncertainty5m

Policy Microsimulation: What is a Compartmental Model?7m

A Basic Tobacco Control Compartment Model8m

Tobacco Control Compartmental Model: Menthol Cigarette Example10m

1 lectura

Week 3 Optional Readings & Resources30m

2 ejercicios de práctica

Policy Microsimulation Modeling Knowledge Check20m

Week 3 Quiz: Policy Microsimulation Modeling 30m

Semana

Semana 4

4 horas para completar

Week 4 | Program/Policy Evaluation: Did it Work?—Part 1

4 horas para completar

15 videos (Total 127 minutos), 2 lecturas, 4 cuestionarios

15 videos

What is Program Evaluation and Why it matters?9m

Types of Program Evaluation7m

Program Evaluation Framework9m

Focusing the Design and Gathering Credible Evidence12m

Example of a Research Design7m

Internal and External Validity: the Basics8m

Internal and External Validity: Examples8m

Common Research Designs for Evaluation In Public Sector12m

Experimental Designs11m

Examples of Randomized-Controlled Trials (RCTs) of Public Programs11m

Coming Up Next: The DC Garbage Can Case Study4m

The DC Garbage Can Intervention: Data Analysis7m

The DC Garbage Can Intervention: Joining Data5m

The DC Garbage Can Intervention: Wrap-Up8m

One More Thing For This Week: Random Assignment vs Random Selection2m

2 lecturas

Raise Taxes on Tobacco10m

Week 4 Optional Readings & Resources30m

4 ejercicios de práctica

Program Evaluation Knowledge Check20m

Research Design Knowledge Check20m

The DC Garbage Can Intervention: Practice & Knowledge Check20m

Week 4 Quiz: Program/Policy Evaluation30m

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

Preguntas Frecuentes

¿Cuándo podré acceder a las lecciones y tareas?
El acceso a las clases y las asignaciones depende del tipo de inscripción que tengas. Si tomas un curso en modo de oyente, verás la mayoría de los materiales del curso en forma gratuita. Para acceder a asignaciones calificadas y obtener un certificado, deberás comprar la experiencia de Certificado, ya sea durante o después de participar como oyente. Si no ves la opción de oyente:
es posible que el curso no ofrezca la opción de participar como oyente. En cambio, puedes intentar con una Prueba gratis o postularte para recibir ayuda económica.
Es posible que el curso ofrezca la opción 'Curso completo, sin certificado'. Esta opción te permite ver todos los materiales del curso, enviar las evaluaciones requeridas y obtener una calificación final. También significa que no podrás comprar una experiencia de Certificado.
¿Qué recibiré si me suscribo a este Programa especializado?
Cuando te inscribes en un curso, obtienes acceso a todos los cursos que forman parte del Programa especializado y te darán un Certificado cuando completes el trabajo. Se añadirá tu Certificado electrónico a la página Logros. Desde allí, puedes imprimir tu Certificado o añadirlo a tu perfil de LinkedIn. Si solo quieres leer y visualizar el contenido del curso, puedes auditar el curso sin costo.
¿Cuál es la política de reembolsos?
Si estás suscrito, obtienes una prueba gratis de 7 días, que podrás cancelar cuando desees sin ningún tipo de penalidad. Una vez transcurrido ese tiempo, no realizamos reembolsos. No obstante, puedes cancelar tu suscripción cuando quieras. Consulta nuestra política completa de reembolsos.

¿Tienes más preguntas? Visita el Centro de Ayuda al Estudiante.

Assisting Public Sector Decision Makers With Policy Analysis

Acerca de este Curso