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Developing Data Products

Created/Published/Taught by:
Johns Hopkins University
Brian Caffo
Jeff Leek
Roger D. Peng

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Free? Partially: Some Free Content, Some Paid

Cost: $0.00

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This is course 9 of 10 in the Coursera Data Science Specialization.

From Coursera:

“A data product is the production output from a statistical analysis. Data products automate complex analysis tasks of 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.


  • Week 1: Course Overview, Shiny, GoogleVis, and Plotly
  • Week 2: R Markdown and Leaflet
  • Week 3: Swirl and Course Project”

Recommended Prerequisites: Some programming experience

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