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Data Analytics in the Public Sector with R Learning Path

Data Analytics in the Public Sector with R is a Specialization designed by Coursera. It consists of four courses and can be completed in five months with 63 hours of learning content .

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Description

Every government entity — from local municipalities to national agencies — collects and stores millions of data points to perform administrative and legislative duties, allocate resources, and make decisions for the public good. 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.

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Included Courses

Coursera
University of Michigan
Free
1. Fundamentals of Data Analytics in the Public Sector with R
Christopher Brooks and Paula Lantz

15 hours

Intermediate
Dplyr R Programming RStudio tidyverse Data Analysis Data Analytics Formulas Functions Healthcare Analytics
Coursera
University of Michigan
Free
2. Exploratory Data Analysis for the Public Sector with ggplot
Christopher Brooks and Paula Lantz

18 hours

Intermediate
Apache Spark R Programming RStudio ggplot tidyverse Data Analysis Data Analytics Data Sets Data Visualization Distributions
Coursera
University of Michigan
Free
3. Assisting Public Sector Decision Maker With Policy Analysis
Christopher Brooks and Paula Lantz

16 hours

Intermediate
R Programming ggplot Data Analysis Data Analytics Data Modeling Data Sets Data Visualization
Coursera
University of Michigan
Free
4. Politics and Ethics of Data Analytics in the Public Sector
Christopher Brooks and Paula Lantz

14 hours

Intermediate
Data Analysis Data Analytics Data Ethics Data Modeling Data Visualization
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