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

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

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Gain a foundational understanding of key terms and concepts in public administration and public policy while learning foundational programming techniques using the R programming language. You will learn how to execute functions to load, select, filter, mutate, and summarize data frames using the tidyverse libraries with an emphasis on the dplyr package. By the end of the course, you will create custom functions and apply them to population data which is commonly found in public sector analytics.
Throughout the course, you will work with authentic public datasets, and all programming can be completed in RStudio on the Coursera platform without additional software.

This is the first 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 1 de 4 en

Programa especializado: Data Analytics in the Public Sector with R

Nivel intermedio

Aprox. 15 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 1 de 4 en

Programa especializado: Data Analytics in the Public Sector with R

Nivel intermedio

Aprox. 15 horas para completar

Inglés (English)

Instructores

Christopher Brooks

Assistant Professor

School of Information

774.759 alumnos

14 cursos

Paula Lantz

James B. Hudak Professor of Health Policy

Gerald R. Ford School of Public Policy

2631 alumnos

4 cursos

Ofrecido por

Universidad de Míchigan

Programa - Qué aprenderás en este curso

Semana

Semana 1

3 horas para completar

Week 1 | Introduction to Data Analytics in the Public Sector with R

3 horas para completar

5 videos (Total 36 minutos), 6 lecturas, 1 cuestionario

5 videos

Welcome from the University of Michigan!5m

What is the Public Sector & What are Public Goods/Services?6m

Data Science and Data Analytics: An Introduction6m

What Does Public Administration & Public Policy Mean? 9m

Introduction to RStudio7m

6 lecturas

Course Syllabus15m

Help Us Learn About You10m

Course Glossary of Terms5m

Meaning and Significance of Data Analytics for the Public Sector20m

7 Reasons for Policy Professionals to Get into R Programming20m

Week 1 Optional Readings & Resources7m

1 ejercicio de práctica

Week 1 Quiz: Introduction to Data Analytics in the Public Sector with R15m

Semana

Semana 2

3 horas para completar

Week 2 | Core Functions of Public Administration and R Basics

3 horas para completar

13 videos (Total 83 minutos), 3 lecturas, 2 cuestionarios

13 videos

General Organization of Government Bureaucracies5m

Examples of Government Bureaucracies6m

Core Functions of Public Administration: Planning, Organizing, Staffing, & Directing6m

Core Functions of Public Administration: Coordinating, Reporting, & Budgeting5m

Applications of Data Analytics to Public Administration Functions10m

Getting Started with R: The Basics6m

Getting started with R: The Basics of Vectorized Language7m

Getting started with R: Attributes of Data8m

Exploring R Dataframes: Columns as Variables6m

Using Vectors to Select and Analyze Data6m

Exploring R Dataframes: Dealing with Missing Values Through Boolean Masking7m

Exploring R Dataframes: Creating Statistics from Cleaned Dataframe3m

One More Thing for This Week!3m

3 lecturas

POSDCORB: Important 7 Steps, Functions, Strength, Criticism20m

RStudio Cheat Sheet15m

Week 2 Optional Readings & Resources7m

2 ejercicios de práctica

Getting Started With R: Practice & Knowledge Check20m

Week 2 Quiz: Getting Started With R30m

Semana

Semana 3

4 horas para completar

Week 3 | Survey Data Analysis with the Tidyverse

4 horas para completar

14 videos (Total 111 minutos), 2 lecturas, 4 cuestionarios

14 videos

Survey Data Analytics: Importance, Types and Examples of Survey Data Analytics in the Public Sector8m

What Analysts Need to Know About Survey Designs & Types8m

What Analysts Need to Know About Survey Deployment4m

What Analysts Need to Know in Understanding Survey Data | Part 19m

What Analysts Need to Know in Understanding Survey Data | Part 21m

Example: Reading a Codebook13m

Example: Dashboards9m

Example of a Codebook: The Behavioral Risk Factor Surveillance System4m

Data Manipulation with dplyr: Tidyverse & Exploring the Data9m

Data Manipulation with dplyr: Pipe Operator & Adding Variables8m

Data Manipulation with dplyr: Formulas in R5m

Data Analysis: Grouping by Variable10m

Data Analysis: Grouping by Multiple Variables6m

One More Thing for This Week!8m

2 lecturas

Required Resources Needed Ahead30m

Week 3 Optional Readings & Resources7m

4 ejercicios de práctica

Survey Data Analytics Knowledge Check10m

What Analysts Need to Know: Knowledge Check10m

Data Manipulation: Practice & Knowledge Check20m

Week 3 Quiz: Analysis Skills for Survey Data30m

Semana

Semana 4

2 horas para completar

Week 4 | Population Data Analysis with Custom R functions

2 horas para completar

7 videos (Total 61 minutos), 1 lectura, 4 cuestionarios

7 videos

Importance of Population Data Analytics & the Three Main Demographic Processes9m

Population Data Analytics: Key Population Data Sources3m

Population Data Analytics: The Answer to a Basic Population Question7m

Creating Custom Analytics10m

Applying Custom Analytics to Groups4m

Writing Functions10m

Alternative Analytics for TDR14m

1 lectura

Week 4 Optional Readings & Resources7m

4 ejercicios de práctica

Generating & Interpreting Population Data20m

Custom Analytics: Practice & Knowledge Check2m

RStudio Function for Data Analysis: Practice & Knowledge Check20m

Week 4 Quiz: Analysis Skills for Population Data30m

Reseñas

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Principales reseñas sobre FUNDAMENTALS OF DATA ANALYTICS IN THE PUBLIC SECTOR WITH R

por KL10 de ene. de 2023

Instructors get 5 stars. Content gets 4.5. The 4 star rating due to some issues with the answer key/grading and some of the R assignments expected more knowledge than that presented.

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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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Fundamentals of Data Analytics in the Public Sector with R

Acerca de este Curso