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

4.9
stars
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Collin Paschall

3,906 already enrolled

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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 fourth in the Specialization "Data Visualization and Dashboarding in R." Learners will come to this course with a strong background in making visualization in R using ggplot2. To build on those skills, this course covers creating interactive visualization using Shiny, as well as combining different kinds of figures made in R into interactive dashboards.

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Course 4 of 5 in the

Data Visualization & Dashboarding with R Specialization

Approx. 11 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 4 of 5 in the

Data Visualization & Dashboarding with R Specialization

Approx. 11 hours to complete

English

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

Try Coursera for Business

Instructor

Instructor rating

4.8/5 (20 Ratings)

Collin Paschall

Senior Lecturer

Johns Hopkins University Center for Advanced Governmental Studies

17,698 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 Shiny

In this module, we will get started using Shiny to create interactive visualizations. 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

6 videos (Total 41 min), 5 readings, 2 quizzes

Week2

Week 2

4 hours to complete

Customizing Shiny Apps

In this module, we will go into greater details about laying Shiny applications. 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

2 videos (Total 18 min), 5 readings, 2 quizzes

Week3

Week 3

3 hours to complete

flexdashboard

In this module, we will learn how to use flexdashboard to display visualization in a dashboard format. 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

3 videos (Total 13 min), 4 readings, 4 quizzes

Reviews

4.9

17 reviews

5 stars
88%
4 stars
12%

TOP REVIEWS FROM PUBLISHING VISUALIZATIONS IN R WITH SHINY AND FLEXDASHBOARD

by ANMay 27, 2021

Another one! And it's getting better and better. Enjoyed every bit of it, thank you.

by JCMar 18, 2022

Excellent introductory course on creating and publishing your dashborards and interactive graphics.

by ILSep 30, 2021

This course is a good start for people who are interested in learning about R Shiny and flexdashboard.

by CLApr 5, 2021

Awesome place to get started if you are learning Shiny and Flexdashboard

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:
The course may not offer an audit option. You can try a Free Trial instead, or apply for Financial Aid.
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.
What will I get if I subscribe to this Specialization?
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.
Is financial aid available?
Yes. In select learning programs, you can apply for financial aid or a scholarship if you can’t afford the enrollment fee. If fin aid or scholarship is available for your learning program selection, you’ll find a link to apply on the description page.

More questions? Visit the Learner Help Center.

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Publishing Visualizations in R with Shiny and flexdashboard

About this Course