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.
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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.
- 5 stars68.31%
- 4 stars23.24%
- 3 stars6.47%
- 2 stars1.51%
- 1 star0.44%
DEVELOPING DATA PRODUCTS의 최상위 리뷰
It another great lecture in this specialization course. Simplified, understandable, and highly impactful. You'd learn A-Z of shiny app development.
Course content was helpful. Some confusion in assignment questions not aligning with what was covered in lectures where it would have helped to clarify that was intentional.
Interesting, practical course. Gives a broad overview of R Markdown, Shiny, interactive plots (Gvis/Plotly), incorporating maps via Leaflet and creating your own training courses.
I have learned a lot of things after completing this course, like how to build a shiny app by myself and how to use leaflets and plot a graph. Thanks, coursera
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