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University of Michigan - Exploratory Data Analysis for the Public Sector with ggplot 

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Exploratory Data Analysis for the Public Sector with ggplot
 at 
Coursera 
Overview

Duration

18 hours

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Total fee

Free

Mode of learning

Online

Official Website

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Credential

Certificate

Exploratory Data Analysis for the Public Sector with ggplot
 at 
Coursera 
Highlights

  • Earn a Certificate upon completion
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Exploratory Data Analysis for the Public Sector with ggplot
 at 
Coursera 
Course details

More about this course
  • Learn about the core pillars of the public sector and the core functions of public administration through statistical Exploratory Data Analysis (EDA)
  • Learn analytical and technical skills using the R programming language to explore, visualize, and present data, with a focus on equity and the administrative functions of planning and reporting
  • Technical skills in this course will focus on the ggplot2 library of the tidyverse, and include developing bar, line, and scatter charts, generating trend lines, and understanding histograms, kernel density estimations, violin plots, and ridgeplots
  • These skills are enhanced with lessons on best practices for good information visualization design
  • Upon completing this course, you will understand the layered grammar of graphics and its implementation in ggplot2, all while exploring a diverse set of authentic public datasets
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Exploratory Data Analysis for the Public Sector with ggplot
 at 
Coursera 
Curriculum

Week 1

Introduction to Visualization with ggplot2

Introduction to Course 2: Exploratory Data Analysis with ggplot2

A Layered Grammar of Graphics

Factors in R

Our First ggplot Plot

Our First ggplot Plot: A little more Aesthetic

Exploring ggplot

Line Plots

The Power of Data Visualization for Public Administration

One More Thing for this Week: Case Study of EDA of a Disturbing Trend

Course Syllabus

Course Glossary of Terms

Help Us Learn About You

Week 1 Assignment: Data Visualization in R with ggplot2

R Code Solution for Week 1 Assignment: Data Visualization in R with ggplot2

Week 1 Optional Readings & Resources

Factors in R: Practice & Knowledge Check

Drawing a with ggplot in R: Practice & Knowledge Check

Exploring ggplot in R: Practice & Knowledge Check

Week 1 Assignment Check

Week 2

Fundamentals of Exploratory Data Analysis (EDA)

Equity as a Core Principle of Public Administration

Example: Digital Equity

The Importance of Equity in Public Health: Interview with Dr. Joneigh Khaldun

Trendlines: the Basics

Trendlines: Understanding Trends & Going Further with Them

Distributions and Histograms: Getting Started

A Deep Dive into Histograms

Making a Population Pyramid: The Base

Improving the Visuals of a Population Pyramid

Week 2 Assignment: Fundamentals of Exploratory Data Analysis

R Code Solution for Week 2 Assignment

Week 2 Optional Readings & Resources

EDA & Equity Knowledge Check

Trendlines in R: Practice & Knowledge Check

Histograms in R: Practice & Knowledge Check

Population Pyramids in R: Practice & Knowledge Check

Week 2 Assignment Check

Week 3

Visualizing Populations and Trends with R

Let's go Fishing!

Boxplots

Boxplots: Increasing Variables

Violin Plots

Ridgeplots

Boxplots in R: Practice & Knowledge Check

Violin & Ridgeplots in R: Practice & Knowledge Check

Week 4

Best Practices for Data Visualization

Beware: Misleading Data Visualization

Communication Principles for Data Analysts

Introduction to Design of Visual Information

Graphical heuristics: Data-ink ratio (Edward Tufte)

Graphical heuristics: Chart junk (Edward Tufte)

Graphical heuristics: Lie Factor and Spark Lines (Edward Tufte)

The Truthful Art (Alberto Cairo)

Tools for Thinking about Design

Small Multiples

SPLOMs

One More Thing for This Week!: World Data Visualization Prize in 2019

Congratulations on Completing the Course!

Week 4 Assignment: Best Practices for Data Visualization

Week 4 Optional Readings & Resources

Course Survey

Small Multiples in R: Practice & Knowledge Check

Week 4 Assignment Check

Exploratory Data Analysis for the Public Sector with ggplot
 at 
Coursera 
Admission Process

    Important Dates

    May 25, 2024
    Course Commencement Date

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