Overview
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 Data Analytics in the Public Sector with R course offered by Coursera in partnership with University of Michigan 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
Applied Learning Project
There is an opportunity to practice all of your R skills within hands-on exercises for each course. In the capstone exercise of course 4, learners will analyze data as part of policy options analysis, create a visualization of the results of the analysis, and make a recommendation based on the results.
What You Will 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
Skills You Will Gain:
- Public Policy
- Data Analysis
- Ggplot2
- Data Visualization
- Rstudio
Get more details
Visit programme websiteProgramme Structure
Courses include:
- Fundamentals of Data Analytics in the Public Sector with R
- Exploratory Data Analysis for the Public Sector with ggplot
- Assisting Public Sector Decision Makers With Policy Analysis
- Politics and Ethics of Data Analytics in the Public Sector
Check out the full curriculum
Visit programme websiteKey information
Duration
- Part-time
- 2 months
- Flexible
Start dates & application deadlines
Language
Delivered
Disciplines
Public Policy Data Analytics View 21 other Short Courses in Public Policy in United StatesExplore more key information
Visit programme websiteWhat students do after studying
Academic requirements
We are not aware of any specific GRE, GMAT or GPA grading score requirements for this programme.
English requirements
We are not aware of any English requirements for this programme.
Other requirements
General requirements
Intermediate level
- Learners are expected to have had some experience in programming, ideally with the R language, and basic applied statistics knowledge
Make sure you meet all requirements
Visit programme websiteTuition Fee
-
International
FreeTuition FeeBased on the tuition of 0 USD for the full programme during 2 months. -
National
FreeTuition FeeBased on the tuition of 0 USD for the full programme during 2 months.
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Funding
Coursera provides financial aid to learners who cannot afford the fee. Apply for it by clicking on the Financial Aid link beneath the "Enroll" button on the left. You'll be prompted to complete an application and will be notified if you are approved. You'll need to complete this step for each course in the Specialization, including the Capstone Project.