Fundamentals of Data Analytics in the Public Sector with R
Master R programming for public sector data analysis, focusing on survey and population data analytics with practical applications.
Master R programming for public sector data analysis, focusing on survey and population data analytics with practical applications.
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
Master fundamental R programming for public sector data analysis
Create custom functions for analyzing population data
Apply tidyverse libraries for data manipulation
Analyze and interpret survey data effectively
Understand key public administration concepts
Develop practical skills in government data analytics
Skills you'll gain
This course includes:
5.3 Hours PreRecorded video
12 quizzes
Access on Mobile, Tablet, Desktop
FullTime access
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There are 5 modules in this course
This comprehensive course introduces fundamental concepts of data analytics in the public sector using R programming. Students learn essential public administration terms, R programming basics using tidyverse libraries, and practical applications for analyzing survey and population data. The curriculum covers custom function creation, data manipulation techniques, and real-world case studies from public health and national security. The course emphasizes hands-on experience with authentic public datasets, preparing learners for data analysis roles in government and public service.
Introduction to Data Analytics in the Public Sector with R
Module 1 · 3 Hours to complete
Core Functions of Public Administration and R Basics
Module 2 · 3 Hours to complete
Survey Data Analysis with the Tidyverse
Module 3 · 3 Hours to complete
Population Data Analysis with Custom R functions
Module 4 · 2 Hours to complete
Public Sector Data Analytics in Practice
Module 5 · 1 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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4.7 course rating
32 ratings
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