Associate Professor of Information
9 Learning Experiences
Data Analytics in the Public Sector with R
What You'll Learn
- Use the R programming language to gather, manipulate, analyze, visualize, and interpret data
- Interpret data to inform public policy and public administrative functions using hands-on activities with real-world data sets
- Identify and address common political and ethical challenges in data analysis
4-Course Series
63 hours
16 hours per course (approx.)
Shareable Certificate
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About 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
Skills You'll Gain
- Data Ethics
- Data Analysis
- Data Visualization
- Case Study
- Ggplot2
- Public Policy Research
- Statistical Graphics
- RStudio
- Tidyverse
- Policy Analysis
- Public Administration
What You'll Earn
- Certificate of Completion
- Certificates of completion acknowledge knowledge acquired upon completion of a non-credit course or program.
James B. Hudak Professor of Health Policy
5 Learning Experiences
Course content developed by U-M faculty and managed by the university. Faculty titles and affiliations are updated periodically.
Intermediate Level
Learners are expected to have had some experience in programming, ideally with the R language, and basic applied statistics knowledge.
Series Video
4 Courses in this series
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Free U-M Access CourseFundamentals of Data Analytics in the Public Sector with R
Learn R programming and core data analytics skills by analyzing real public sector datasets using tidyverse and dplyr libraries.
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Free U-M Access CourseExploratory Data Analysis for the Public Sector with ggplot
Use R and ggplot2 to explore public datasets and create insightful, equity-focused visualizations for planning and reporting.
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Free U-M Access CourseAssisting Public Sector Decision Makers With Policy Analysis
Learn to apply data analysis tools and statistical methods to evaluate public policies and inform decisions using R.
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Free U-M Access CoursePolitics and Ethics of Data Analytics in the Public Sector
Examine ethical challenges in public sector data use and conduct policy analysis with R using real-world case studies.
