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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Shareable Certificate
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Approx. 10 hours to complete
English
Could your company benefit from training employees on in-demand skills?
Try Coursera for BusinessWhat 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
Could your company benefit from training employees on in-demand skills?
Try Coursera for Business
Offered by
Syllabus - What you will learn from this course
1 hour to complete
Course Overview
1 hour to complete
1 video (Total 1 min), 6 readings
3 hours to complete
Shiny, GoogleVis, and Plotly
3 hours to complete
24 videos (Total 124 min), 2 readings, 1 quiz
2 hours to complete
R Markdown and Leaflet
2 hours to complete
12 videos (Total 45 min), 1 reading, 2 quizzes
3 hours to complete
R Packages
3 hours to complete
5 videos (Total 65 min), 1 reading, 2 quizzes
1 hour to complete
Swirl and Course Project
1 hour to complete
3 videos (Total 16 min), 1 reading, 1 quiz
Reviews
- 5 stars68.35%
- 4 stars23.18%
- 3 stars6.45%
- 2 stars1.51%
- 1 star0.48%
TOP REVIEWS FROM DEVELOPING DATA PRODUCTS
by APOct 9, 2019
Out of the other 8 modules, I personally liked this one the most. Here is where you put into practice what you've have learned so far. Great job guys!
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 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 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.
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