Data visualization is a critical skill for anyone that routinely using quantitative data in his or her work - which is to say that data visualization is a tool that almost every worker needs today. One of the critical tools for data visualization today is the R statistical programming language. Especially in conjunction with the tidyverse software packages, R has become an extremely powerful and flexible platform for making figures, tables, and reproducible reports. However, R can be intimidating for first time users, and there are so many resources online that it can be difficult to sort through without guidance.
This course is part of the Data Visualization & Dashboarding with R Specialization
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Data Visualization & Dashboarding with R SpecializationJohns Hopkins UniversityAbout this Course
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Course 2 of 5 in the
Intermediate Level
Approx. 13 hours to complete
English
Subtitles: English
Flexible deadlines
Reset deadlines in accordance to your schedule.
Shareable Certificate
Earn a Certificate upon completion
100% online
Start instantly and learn at your own schedule.
Course 2 of 5 in the
Intermediate Level
Approx. 13 hours to complete
English
Subtitles: English
Offered by
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.
Syllabus - What you will learn from this course
4 hours to complete
Introduction to the Grammar of Graphics
In this module, we will get started using ggplot2. You should begin by watching the introductory videos in each lesson. Then, carefully review the readings and reference materials provided. Once you have done that, I recommend watching the videos again to check your understanding. You will take a few quizzes as you progress through the material to make sure you are keeping up.
4 hours to complete
4 videos (Total 26 min), 11 readings, 3 quizzes
3 hours to complete
More Visualizations with ggplot
In this module, we will continue working with ggplot, learning additional types of visualization techniques. You should begin by watching the introductory videos in each lesson. Then, carefully review the readings and reference materials provided. Once you have done that, I recommend watching the videos again to check your understanding. You will take a few quizzes as you progress through the material to make sure you are keeping up.
3 hours to complete
7 videos (Total 39 min), 4 readings, 3 quizzes
5 hours to complete
ggplot Graphical Elements
In this module, we will cover how to refine plots created in ggplot2. You should begin by watching the introductory videos in each lesson. Then, carefully review the readings and reference materials provided. Once you have done that, I recommend watching the videos again to check your understanding. You will take a few quizzes as you progress through the material to make sure you are keeping up. Then, at the end of the module, you will submit an assignment for peer review that covers all of the material in this course.
5 hours to complete
6 videos (Total 38 min), 8 readings, 4 quizzes
Reviews
TOP REVIEWS FROM DATA VISUALIZATION IN R WITH GGPLOT2
by BSSep 27, 2021
Excellent introduction to ggplot capabilites and grammar of graphics. Usually the tutorials and ggplot documentation are not enough to reveal it's true potential.
by DPJul 28, 2021
The best course that I took on Coursera. Thanks Prof. Collin Paschall very much for the entire course set up.
by ATApr 14, 2021
The course is very interesting. It helped me improve my skills with different graphs and charts
by MZMay 12, 2021
My best thanks to Coursera and Johns Hopkins University for holding this valuable course.
About the Data Visualization & Dashboarding with R Specialization
This Specialization is intended for learners seeking to develop the ability to visualize data using R. Through five courses, you will use R to create static and interactive data visualizations and publish them on the web, which will you prepare you to provide insight to many types of audiences.
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