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
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Learner Career Outcomes
30%
started a new career after completing these courses
34%
got a tangible career benefit from this course
14%
got a pay increase or promotion
Shareable Certificate
Earn a Certificate upon completion
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Start instantly and learn at your own schedule.
Flexible deadlines
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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
InteractivityPlotlyWeb ApplicationR Programming
Learner Career Outcomes
30%
started a new career after completing these courses
34%
got a tangible career benefit from this course
14%
got a pay increase or promotion
Shareable Certificate
Earn a Certificate upon completion
100% online
Start instantly and learn at your own schedule.
Flexible deadlines
Reset deadlines in accordance to your 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
TOP REVIEWS FROM DEVELOPING DATA PRODUCTS
by VPApr 9, 2017
Nice course and good classmates. It's very focus oriented and gives very good idea of Shiny, Rmarkdown, plotly and how to publish documents on github, Rpubs and other online sites. I learnt power of R
by JCMay 4, 2016
Compared to the other classes in the JHU Data Science specialization, this one is pretty laid back. It's useful information, and teaches a few nice tricks on how to present data analysis results.
by SRFeb 13, 2018
This course lacked required information of help to get started. Now thanks to some posts by mentors i was able to successfully complete the Capstone project. Overall a very good experience!
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.
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