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

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Learn about the core pillars of the public sector and the core functions of public administration through statistical Exploratory Data Analysis (EDA). Learn analytical and technical skills using the R programming language to explore, visualize, and present data, with a focus on equity and the administrative functions of planning and reporting. Technical skills in this course will focus on the ggplot2 library of the tidyverse, and include developing bar, line, and scatter charts, generating trend lines, and understanding histograms, kernel density estimations, violin plots, and ridgeplots. These skills are enhanced with lessons on best practices for good information visualization design. Upon completing this course, you will understand the layered grammar of graphics and its implementation in ggplot2, all while exploring a diverse set of authentic public datasets.
All coursework is completed in RStudio in Coursera without the need to install additional software.

This is the second 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.

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Curso 2 de 4 en

Programa especializado: Data Analytics in the Public Sector with R

Nivel intermedio

Aprox. 18 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 2 de 4 en

Programa especializado: Data Analytics in the Public Sector with R

Nivel intermedio

Aprox. 18 horas para completar

Inglés (English)

Instructores

Christopher Brooks

Assistant Professor

School of Information

753.457 alumnos

13 cursos

Paula Lantz

James B. Hudak Professor of Health Policy

Gerald R. Ford School of Public Policy

603 alumnos

4 cursos

ofrecido por

Universidad de Míchigan

Programa - Qué aprenderás en este curso

Semana

Semana 1

7 horas para completar

Week 1 | Introduction to Visualization with ggplot2

Welcome to the second course in the Data Analytics in the Public Sector with R—Exploratory Data Analysis for Public Administration with ggplot. This week, you will begin to develop the skills of exploratory data analysis through constructing ggplot plots and line plots in RStudio. You will also get to recognize the importance of data visualization for public administration and how powerful data visualization skills are in the profession of a data analyst.

7 horas para completar

9 videos (Total 68 minutos), 6 lecturas, 5 cuestionarios

9 videos

Introduction to Course 2: Exploratory Data Analysis with ggplot21m

A Layered Grammar of Graphics5m

Factors in R16m

Our First ggplot Plot8m

Our First ggplot Plot: A little more Aesthetic8m

Exploring ggplot7m

Line Plots7m

The Power of Data Visualization for Public Administration5m

One More Thing for this Week: Case Study of EDA of a Disturbing Trend6m

6 lecturas

Course Syllabus15m

Course Glossary of Terms5m

Help Us Learn About You10m

Week 1 Assignment: Data Visualization in R with ggplot230m

R Code Solution for Week 1 Assignment: Data Visualization in R with ggplot25m

Week 1 Optional Readings & Resources10m

4 ejercicios de práctica

Factors in R: Practice & Knowledge Check20m

Drawing a with ggplot in R: Practice & Knowledge Check20m

Exploring ggplot in R: Practice & Knowledge Check 20m

Week 1 Assignment Check3m

Semana

Semana 2

5 horas para completar

Week 2 | Fundamentals of Exploratory Data Analysis (EDA)

5 horas para completar

9 videos (Total 89 minutos), 3 lecturas, 6 cuestionarios

9 videos

Equity as a Core Principle of Public Administration8m

Example: Digital Equity6m

The Importance of Equity in Public Health: Interview with Dr. Joneigh Khaldun9m

Trendlines: the Basics9m

Trendlines: Understanding Trends & Going Further with Them14m

Distributions and Histograms: Getting Started7m

A Deep Dive into Histograms10m

Making a Population Pyramid: The Base10m

Improving the Visuals of a Population Pyramid11m

3 lecturas

Week 2 Assignment: Fundamentals of Exploratory Data Analysis30m

R Code Solution for Week 2 Assignment5m

Week 2 Optional Readings & Resources10m

5 ejercicios de práctica

EDA & Equity Knowledge Check10m

Trendlines in R: Practice & Knowledge Check20m

Histograms in R: Practice & Knowledge Check20m

Population Pyramids in R: Practice & Knowledge Check20m

Week 2 Assignment Check3m

Semana

Semana 3

1 hora para completar

Week 3 | Visualizing Populations and Trends with R

1 hora para completar

5 videos (Total 42 minutos)

Semana

Semana 4

5 horas para completar

Week 4 | Best Practices for Data Visualization

5 horas para completar

12 videos (Total 67 minutos), 3 lecturas, 3 cuestionarios

12 videos

Beware: Misleading Data Visualization9m

Communication Principles for Data Analysts5m

Introduction to Design of Visual Information2m

Graphical heuristics: Data-ink ratio (Edward Tufte)4m

Graphical heuristics: Chart junk (Edward Tufte)5m

Graphical heuristics: Lie Factor and Spark Lines (Edward Tufte)3m

The Truthful Art (Alberto Cairo)8m

Tools for Thinking about Design8m

Small Multiples5m

SPLOMs7m

One More Thing for This Week!: World Data Visualization Prize in 2019 2m

Congratulations on Completing the Course!2m

3 lecturas

Week 4 Assignment: Best Practices for Data Visualization30m

Week 4 Optional Readings & Resources10m

Course Survey10m

2 ejercicios de práctica

Small Multiples in R: Practice & Knowledge Check 20m

Week 4 Assignment Check3m

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

Every government entity — from local municipalities to national agencies — collects and stores millions of data points to perform administrative and legislative duties, allocate resources, and make decisions for the public good. 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. Although there are no prerequisites, this Specialization is best suited for those with programming experience, ideally with the R language and basic applied statistics knowledge. 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?
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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?
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¿Hay ayuda económica disponible?
Sí. En ciertos programas de aprendizaje, puedes postularte para recibir ayuda económica o una beca en caso de no poder costear los gastos de la tarifa de inscripción. Si hay ayuda económica o becas disponibles para tu selección de programa de aprendizaje, verás un enlace para postularte en la página de descripción.

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Exploratory Data Analysis for the Public Sector with ggplot

Acerca de este Curso