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
U-M Credit Eligible
Assistant Professor of Information
School of Information
James B. Hudak Professor of Health Policy
Gerald R. Ford School of Public Policy
Fundamentals of Data Analytics in the Public Sector with R|
5 weeksGain a foundational understanding of key terms and concepts in public administration and public policy while learning foundational programming techniques using the R programming language.
Exploratory Data Analysis for the Public Sector with ggplot|
4 weeksLearn about the core pillars of the public sector and the core functions of public administration through statistical Exploratory Data Analysis (EDA).
Assisting Public Sector Decision Makers With Policy Analysis|
5 weeksLearn how to apply data analysis techniques to the core public sector principles of efficiency, effectiveness, and equity.
Politics and Ethics of Data Analytics in the Public Sector|
4 weeksDeepen your understanding of the power and politics of data in the public sector, including how values — in addition to data and evidence — are always part of public sector decision-making.
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