Exploratory Data Analysis for the Public Sector with ggplot
Master advanced R-based data visualization and analysis techniques using ggplot2 for generating meaningful insights from public sector data and operations.
Master advanced R-based data visualization and analysis techniques using ggplot2 for generating meaningful insights from public sector data and operations.
This course cannot be purchased separately - to access the complete learning experience, graded assignments, and earn certificates, you'll need to enroll in the full Data Analytics in the Public Sector with R Specialization program. You can audit this specific course for free to explore the content, which includes access to course materials and lectures. This allows you to learn at your own pace without any financial commitment.
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What you'll learn
Create effective data visualizations using ggplot2 and R
Apply statistical EDA techniques to public sector data
Develop advanced visualization skills including trendlines and distributions
Implement best practices for data visualization design
Analyze public sector data through an equity lens
Skills you'll gain
This course includes:
4.35 Hours PreRecorded video
13 quizzes
Access on Mobile, Tablet, Desktop
FullTime access
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There are 4 modules in this course
This comprehensive course focuses on exploratory data analysis (EDA) techniques for public sector applications using R and ggplot2. Students learn to create and interpret various visualization types including bar charts, line plots, histograms, and advanced visualizations like violin plots and ridgeplots. The curriculum emphasizes best practices in information visualization design and application to real public sector datasets. Coursework is completed entirely in RStudio through Coursera, making it accessible for public sector professionals and aspiring data analysts.
Introduction to Visualization with ggplot2
Module 1 · 6 Hours to complete
Fundamentals of Exploratory Data Analysis (EDA)
Module 2 · 5 Hours to complete
Visualizing Populations and Trends with R
Module 3 · 1 Hours to complete
Best Practices for Data Visualization
Module 4 · 4 Hours to complete
Fee Structure
Instructors
Associate Professor at the University of Michigan
Christopher Brooks is an Associate Professor in the School of Information at the University of Michigan, where he specializes in designing tools to enhance teaching and learning experiences in higher education. His research focuses on the application of learning analytics within human-computer interaction, utilizing methods from educational data mining, machine learning, and information visualization. Brooks has published extensively in these areas and is actively involved in directing the Educational Technology Collective, which includes postdoctoral scholars and students collaborating on innovative projects. He teaches various courses related to applied data science and has contributed to online education platforms such as Coursera. His work aims to leverage data to improve educational outcomes and foster better learning environments.
Expert in Health Policy and Social Demography
Paula Lantz is the James B. Hudak Professor of Health Policy at the Gerald R. Ford School of Public Policy and a University Professor of Diversity and Social Transformation at the University of Michigan. As a social demographer and social epidemiologist, her research focuses on how public policy can improve population health and reduce health disparities. Currently, Dr. Lantz is investigating critical issues such as abortion policy, housing policy, and the exacerbation of social and health inequities due to COVID-19. She has been recognized as an elected member of both the National Academy of Social Insurance and the National Academy of Medicine.Dr. Lantz teaches various courses that equip students with analytical skills in public policy, including "Assisting Public Sector Decision Makers With Policy Analysis" and "Politics and Ethics of Data Analytics in the Public Sector." With advanced degrees in sociology and epidemiology, she combines rigorous academic research with practical policy implications, aiming to foster social change through informed decision-making.
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