University of Michigan - Exploratory Data Analysis for the Public Sector with ggplot
- Offered byCoursera
Exploratory Data Analysis for the Public Sector with ggplot at Coursera Overview
Duration | 18 hours |
Start from | Start Now |
Total fee | Free |
Mode of learning | Online |
Official Website | Explore Free Course |
Credential | Certificate |
Exploratory Data Analysis for the Public Sector with ggplot at Coursera Highlights
- Earn a Certificate upon completion
Exploratory Data Analysis for the Public Sector with ggplot at Coursera Course details
- 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
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