A data product is the production output from a statistical analysis. Data products automate complex analysis tasks or use technology to expand the utility of a data informed model, algorithm or inference. This course covers the basics of creating data products using Shiny, R packages, and interactive graphics. The course will focus on the statistical fundamentals of creating a data product that can be used to tell a story about data to a mass audience.
Offered By
Johns Hopkins UniversityAbout this Course
19,353 recent views
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.
Approx. 10 hours to complete
English
Subtitles: Arabic, French, Portuguese (European), Italian, Vietnamese, Korean, German, Russian, English, Spanish
What you will learn
Develop basic applications and interactive graphics using GoogleVis
Use Leaflet to create interactive annotated maps
Build an R Markdown presentation that includes a data visualization
Create a data product that tells a story to a mass audience
Skills you will gain
- Interactivity
- Plotly
- Web Application
- R Programming
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.
Approx. 10 hours to complete
English
Subtitles: Arabic, French, Portuguese (European), Italian, Vietnamese, Korean, German, Russian, English, Spanish
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
1 hour to complete
Course Overview
In this overview module, we'll go over some information and resources to help you get started and succeed in the course.
1 hour to complete
1 video (Total 1 min), 6 readings
3 hours to complete
Shiny, GoogleVis, and Plotly
Now we can turn to the first substantive lessons. In this module, you'll learn how to develop basic applications and interactive graphics in shiny, compose interactive HTML graphics with GoogleVis, and prepare data visualizations with Plotly.
3 hours to complete
24 videos (Total 124 min), 2 readings, 1 quiz
2 hours to complete
R Markdown and Leaflet
During this module, we'll learn how to create R Markdown files and embed R code in an Rmd. We'll also explore Leaflet and use it to create interactive annotated maps.
2 hours to complete
12 videos (Total 45 min), 1 reading, 2 quizzes
3 hours to complete
R Packages
In this module, we'll dive into the world of creating R packages and practice developing an R Markdown presentation that includes a data visualization built using Plotly.
3 hours to complete
5 videos (Total 65 min), 1 reading, 2 quizzes
1 hour to complete
Swirl and Course Project
Week 4 is all about the Course Project, producing a Shiny Application and reproducible pitch.
1 hour to complete
3 videos (Total 16 min), 1 reading, 1 quiz
Reviews
- 5 stars68.21%
- 4 stars23.32%
- 3 stars6.49%
- 2 stars1.52%
- 1 star0.44%
TOP REVIEWS FROM DEVELOPING DATA PRODUCTS
by RHJan 27, 2018
Interesting topic, touching on many field. I believe it was quite informative as it applies on the previous modules knowledge into this one. However it didn't touch deeper on each topic.
by SSMar 3, 2016
This is a great introduction to some of the many ways to present your data. It's probably the easiest course in the specialisation but shows off an impressive array of widgets and gadgets.
by JCNov 20, 2018
I have learned a lot. The course is simple and very useful. Maybe the assignments should improve because the directions are a bit vague, but in general I liked it.
by JTMar 27, 2016
Good overview of available tools. Lack of practice exercises makes preparing for quizzes difficult. However, the course project does a good job to get your feet wet with Shiny Apps.
Frequently Asked Questions
When will I have access to the lectures and assignments?
What will I get if I subscribe to this Specialization?
Is financial aid available?
More questions? Visit the Learner Help Center.
