About this Course
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Learner Career Outcomes

33%

started a new career after completing these courses

20%

got a tangible career benefit from this course

100% online

Start instantly and learn at your own schedule.

Flexible deadlines

Reset deadlines in accordance to your schedule.

Intermediate Level

Approx. 9 hours to complete

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

English

Subtitles: Arabic, French, Chinese (Simplified), Vietnamese, English

Skills you will gain

MappingGgplot2Data Visualization (DataViz)R Programming

Learner Career Outcomes

33%

started a new career after completing these courses

20%

got a tangible career benefit from this course

100% online

Start instantly and learn at your own schedule.

Flexible deadlines

Reset deadlines in accordance to your schedule.

Intermediate Level

Approx. 9 hours to complete

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

English

Subtitles: Arabic, French, Chinese (Simplified), Vietnamese, English

Syllabus - What you will learn from this course

Week
1
21 minutes to complete

Welcome to Building Data Visualization Tools

1 video (Total 1 min), 2 readings
2 readings
Textbook: Mastering Software Development in R10m
Syllabus10m
3 hours to complete

Plotting with ggplot2

13 readings, 1 quiz
13 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
1 practice exercise
Plotting with ggplot220m
Week
2
2 hours to complete

Mapping and interactive plots

9 readings, 1 quiz
9 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
1 practice exercise
Mapping and interactive plots20m
Week
3
2 hours to complete

The grid Package

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

Building New Graphical Elements

12 readings, 1 quiz
12 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
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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

R is a programming language and a free software environment for statistical computing and graphics, widely used by data analysts, data scientists and statisticians. 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 and scaling useful data science results and products. This Specialization will give you rigorous training in the R language, including the skills for handling complex data, building R packages, and developing custom data visualizations. You’ll be introduced to indispensable R libraries for data manipulation, like tidyverse, and data visualization and graphics, like ggplot2. You’ll 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. This Specialization is designed to serve both data analysts, who may want to gain more familiarity with hands-on, fundamental software skills for their everyday work, as well as data mining experts and data scientists, who may want to use R to scale their developing and programming skills, and further their careers as data science experts....
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.

More questions? Visit the Learner Help Center.