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 4 of 5 in the
Approx. 12 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 4 of 5 in the
Approx. 12 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 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
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
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
- 5 stars84.61%
- 4 stars15.38%
TOP REVIEWS FROM PUBLISHING VISUALIZATIONS IN R WITH SHINY AND FLEXDASHBOARD
by AAMay 27, 2021
Another one! And it's getting better and better. Enjoyed every bit of it, thank you.
by BSOct 3, 2021
Practical dashboard development with Shiny and Flexdashboard, very focused on the tools and underlying components of the libraries.
by JCMar 18, 2022
Excellent introductory course on creating and publishing your dashborards and interactive graphics.
by NPFeb 9, 2021
Great course . Learnt lot from the course. Thank you very much for making such incredible 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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