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 stars68,30 %
- 4 stars23,25 %
- 3 stars6,47 %
- 2 stars1,51 %
- 1 star0,44 %
Meilleurs avis pour DÉVELOPPEMENT DE PRODUITS DE DONNÉES
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.
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.
All that I learned on this course it's totally helpful. I loved this course because I feel that learn a lot of new useful tools that I can use in my work.
I appreciated the wholistic approach of presenting the information via GIT, R shiney server and making the slides.... all very useful going forward.
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