Building Data Visualization Tools

Instructor: Roger D. Peng, PhD , Brooke Anderson

Intermediate Level • 1 week to complete at 10 hours a week • Flexible Schedule

Skills You'll Gain

Interactive Data Visualization
Datamaps
Visualization (Computer Graphics)
Geographic Information Systems
R Programming
Scatter Plots
Ggplot2
Data Visualization Software
Histogram
Software Development
Graphic and Visual Design

Shareable Certificate

Earn a shareable certificate to add to your LinkedIn profile

Outcomes

  • Learn new concepts from industry experts
  • Gain a foundational understanding of a subject or tool
  • Develop job-relevant skills with hands-on projects
  • Earn a shareable career certificate

There are 5 modules in this course

Before we get started, we'll take a quick overview of the course.

Now, we'll dive into creating and customizing ggplot2 plots.

Mapping is a critical part of many data visualizations. During this module, we'll teach you how to create simple and dynamic maps with ggplot2 and ggmap, how to overlay data, and how to create chloropleth maps of US counties.

The grid package in R implements the primitive graphical functions that underly the ggplot2 plotting system. In this module, you'll learn how to work with grid to build graphics.

Building and modifying a theme in ggplot2 is a key feature of the ggplot2 package and system for building data graphics. In this final module, you'll learn to build a new theme and modifying existing themes with new features.