This course is part of the Data Visualization & Dashboarding with R Specialization

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95 ratings

Collin Paschall

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Data Visualization & Dashboarding with R SpecializationJohns Hopkins University

About this Course

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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 the second in a specialization in Data Visualization offered by Johns Hopkins. It is intended for learners who have either have some experience with R and data wrangling in the tidyverse or have taken the previous course in the specialization. The focus in this course learning to use ggplot2 to make a variety of visualizations and to polish those visualizations using tools within ggplot as well as vector graphics editing software. The course will not go into detail about how the data management works behind the scenes.

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Course 2 of 5 in the

Data Visualization & Dashboarding with R Specialization

Intermediate Level

Approx. 12 hours to complete

English

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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.

Coursera Labs

Includes hands on learning projects.

Learn more about Coursera Labs

Course 2 of 5 in the

Data Visualization & Dashboarding with R Specialization

Intermediate Level

Approx. 12 hours to complete

English

Could your company benefit from training employees on in-demand skills?

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Instructor

Instructor rating

4.85/5 (35 Ratings)

Collin Paschall

Senior Lecturer

Johns Hopkins University Center for Advanced Governmental Studies

17,536 Learners

5 Courses

Offered by

Johns Hopkins University

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Syllabus - What you will learn from this course

Week1

Week 1

4 hours to complete

Introduction to the Grammar of Graphics

4 hours to complete

4 videos (Total 26 min), 11 readings, 3 quizzes

4 videos

Welcome to the Course2mGetting Started with ggplot Part 17mGetting Started with ggplot Part 28mDistributions6m

11 readings

Note on Previewing Figures in R Studio5mWickham et al, Chapters 1 and 230mggplot Cheat Sheet15mggplot2 Overview and Reference15mR Graphics Cookbook - Scatter Plots30mSample Data5mR Graphics Cookbook - Histograms20mR Graphics Cookbook - Box Plots10mR Graphics Cookbook - Making a Density Plot10mR Graphics Cookbook - Making a Violin Plot10mA Note About Peer Review Assignments10m

2 practice exercises

ggplot2 Introduction and Scatter Plots10mUnivariate Figures Quiz5m

Week2

Week 2

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

Week3

Week 3

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

6 videos

Annotations Part 14mAnnotations Part 26mColors, Legends, and Themes Part 18mColors, Legends, and Themes Part 25mInkscape Part 13mInkscape Part 28m

8 readings

Wickham et al, Chapter 820mWickham et al, Chapter 1030mWickham et al, Chapter 1615mggplot2 Themes Documentation15mggthemes Gallery10mDownload Page for Inkscape10mInkscape Tutorial Parts 1-330mInkscape Manual Quick Start Section10m

3 practice exercises

Annotations Quiz5mModifying Graphical Elements and Themes Quiz5mVector Graphics5m

Reviews

4.9

23 reviews

5 stars
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4 stars
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3 stars
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TOP REVIEWS FROM DATA VISUALIZATION IN R WITH GGPLOT2

by MSMar 30, 2021

Extremely useful, clear, and easy to follow course of ggplot2

by ATApr 14, 2021

The course is very interesting. It helped me improve my skills with different graphs and charts

by CCAug 4, 2021

Very nice course. I love how simple and straightforwad is the learning process

by AGAug 16, 2021

Course should have been more elaborated. However, I immensely enjoyed this.

View all reviews

About the Data Visualization & Dashboarding with R Specialization

Frequently Asked Questions

When will I have access to the lectures and assignments?
Access to lectures and assignments depends on your type of enrollment. If you take a course in audit mode, you will be able to see most course materials for free. To access graded assignments and to earn a Certificate, you will need to purchase the Certificate experience, during or after your audit. If you don't see the audit option:
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The course may offer 'Full Course, No Certificate' instead. This option lets you see all course materials, submit required assessments, and get a final grade. This also means that you will not be able to purchase a Certificate experience.
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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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Data Visualization in R with ggplot2

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