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Developing Data Products
Johns Hopkins University
Roger D. Peng
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Free? Partially: Some Free Content, Some Paid
Tags: algorithms / communication / data analysis / infographics / modeling / R / Shiny / statistics
This is course 9 of 10 in the Coursera Data Science Specialization.
“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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