Building Data Apps with R and Shiny: Essential Training

Shiny allows R data science teams to build interactive data-driven web apps without needing to learn HTML, CSS, or JavaScript. It is a powerful and versatile tool that is often used for R&D, data analysis, and even external marketing purposes. If you have a good understanding of the R language and know how to separate client-side code from server-side, you are ready to dive into this course and build a Shiny app. Charlie Hadley covers organizing single and split-file apps, managing data tables, using APIs to get data into an app, adding data controls, deploying an app, and more.

Learning objectives
Building a Shiny data app
Single vs. split-file apps
Static tables vs. interactive tables
renderTable and kableExtra and DT tables
Connecting to an API
Populating pull-down menus from data
Using interdependent filter controls
Collecting data using rhandsontable
Printing to the R console in Shiny apps
Debugging Shiny apps
shinyjs::runcodeUI, reactlog
Deploying apps