About this Course
3.9
108 ratings
26 reviews
Specialization
100% online

100% online

Start instantly and learn at your own schedule.
Flexible deadlines

Flexible deadlines

Reset deadlines in accordance to your schedule.
Intermediate Level

Intermediate Level

Hours to complete

Approx. 9 hours to complete

Suggested: 4 weeks, 2 hours per week...
Available languages

English

Subtitles: English, Chinese (Simplified)

Skills you will gain

MappingGgplot2Data Visualization (DataViz)R Programming
Specialization
100% online

100% online

Start instantly and learn at your own schedule.
Flexible deadlines

Flexible deadlines

Reset deadlines in accordance to your schedule.
Intermediate Level

Intermediate Level

Hours to complete

Approx. 9 hours to complete

Suggested: 4 weeks, 2 hours per week...
Available languages

English

Subtitles: English, Chinese (Simplified)

Syllabus - What you will learn from this course

Week
1
Hours to complete
21 minutes to complete

Welcome to Building Data Visualization Tools

Before we get started, we'll take a quick overview of the course....
Reading
1 video (Total 1 min), 2 readings
Reading2 readings
Textbook: Mastering Software Development in R10m
Syllabus10m
Hours to complete
3 hours to complete

Plotting with ggplot2

Now, we'll dive into creating and customizing ggplot2 plots....
Reading
13 readings, 1 quiz
Reading13 readings
Introduction10m
Initializing a ggplot object10m
Plot aesthetics10m
Creating a basic ggplot plot10m
Geoms10m
Using multiple geoms10m
Constant aesthetics10m
Example plots10m
Extensions of ggplot210m
Introduction10m
Guidelines for good plots10m
Scales and color10m
To find out more10m
Quiz1 practice exercise
Plotting with ggplot220m
Week
2
Hours to complete
2 hours to complete

Mapping and interactive 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....
Reading
9 readings, 1 quiz
Reading9 readings
Introduction10m
Basics of Mapping10m
ggmap, Google Maps API10m
Mapping US counties and states10m
More advanced mapping– Spatial objects10m
Where to find more on mapping with R10m
Overview of htmlWidgets10m
plotly package10m
Creating your own widget10m
Quiz1 practice exercise
Mapping and interactive plots20m
Week
3
Hours to complete
2 hours to complete

The grid Package

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....
Reading
7 readings, 1 quiz
Reading7 readings
Introduction10m
Overview of grid graphics10m
Grobs10m
Viewports10m
Grid graphics coordinate systems10m
The gridExtra package10m
Where to find more about grid graphics10m
Quiz1 practice exercise
Basics of grid graphics20m
Week
4
Hours to complete
6 hours to complete

Building New Graphical Elements

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....
Reading
12 readings, 1 quiz
Reading12 readings
Introduction10m
Why Build a New Theme?10m
Default Theme10m
Building a New Theme10m
Summary10m
Introduction10m
Building a Geom10m
Example: An Automatic Transparency Geom10m
Building a Stat10m
Example: Normal Confidence Intervals10m
Combining Geoms and Stats10m
Summary10m

Instructors

Avatar

Roger D. Peng, PhD

Associate Professor, Biostatistics
Bloomberg School of Public Health
Avatar

Brooke Anderson

Assistant Professor, Environmental & Radiological Health Sciences
Colorado State University

About Johns Hopkins University

The mission of The Johns Hopkins University is to educate its students and cultivate their capacity for life-long learning, to foster independent and original research, and to bring the benefits of discovery to the world....

About the Mastering Software Development in R Specialization

This Specialization covers R software development for building data science tools. As the field of data science evolves, it has become clear that software development skills are essential for producing useful data science results and products. You will obtain rigorous training in the R language, including the skills for handling complex data, building R packages and developing custom data visualizations. You will learn modern software development practices to build tools that are highly reusable, modular, and suitable for use in a team-based environment or a community of developers....
Mastering Software Development in R

Frequently Asked Questions

  • Once you enroll for a Certificate, you’ll have access to all videos, quizzes, and programming assignments (if applicable). Peer review assignments can only be submitted and reviewed once your session has begun. If you choose to explore the course without purchasing, you may not be able to access certain assignments.

  • When you enroll in the course, you get access to all of the courses in the Specialization, and you earn a certificate when you complete the work. Your electronic Certificate will be added to your Accomplishments page - from there, you can print your Certificate or add it to your LinkedIn profile. If you only want to read and view the course content, you can audit the course for free.

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