Developing Data Products free videos and free material uploaded by Johns Hopkins University Staff .
Course Overview
In this overview module, we'll go over some information and resources to help you get started and succeed in the course
Week 1: Shiny, GoogleVis, and Plotly
Now we can turn to the first substantive lessons In this module, you'll learn how to develop basic applications and interactive graphics in shiny, compose interactive HTML graphics with GoogleVis, and prepare data visualizations with Plotly
Week 2: R Markdown and Leaflet
During this module, we'll learn how to create R Markdown files and embed R code in an Rmd We'll also explore Leaflet and use it to create interactive annotated maps
Week 3: R Packages
In this module, we'll dive into the world of creating R packages and practice developing an R Markdown presentation that includes a data visualization built using Plotly
Week 4: Swirl and Course Project
In this module, discuss all about the Course Project, producing a Shiny Application and reproducible pitch
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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