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Data Analytics in the Public Sector with R
Coursera
Specialization
Unknown

Data Analytics in the Public Sector with R

University of Michigan

This specialization provides public sector professionals with skills in data analysis using R to enhance policymaking and administrative decisions.

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About this Course

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

What You'll Learn

  • Use R programming to gather, manipulate, analyze, visualize, and interpret data
  • Identify and address political and ethical challenges in data analysis
  • Interpret data to inform public policy and administration through practical activities

Prerequisites

  • No prior experience required

Instructors

P

Paula Lantz

James B. Hudak Professor of Health Policy

C

Christopher Brooks

Associate Professor

Topics

Governance and Society
Social Sciences
Data Analysis
Data Science
Case Studies
Data Ethics
Data Presentation
Data Visualization Software
Exploratory Data Analysis
Ggplot2

Course Info

PlatformCoursera
LevelUnknown
PacingUnknown
PriceFree

Skills

الحوكمة والمجتمع
العلوم الاجتماعية
تحليل البيانات
علوم البيانات
دراسات حالة
أخلاقيات البيانات
عرض البيانات
برمجيات تصوير البيانات
Exploratory Data Analysis
Ggplot2

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