Enhance your data science toolkit with our “Shiny” learning path: build your first shiny app, make it shine and robust, and bring it to production.
R Shiny is empowered data science through interactive interface. By providing your code with a UI, it allows to share the power of data analysis with business users, enables decision-making through visualization and interaction, eases collaboration and allows you to bring your work from prototype all the way to production.
With our “Shiny” Learning Path we offer four workshops bringing you from a total novice all the way to a professional Shiny developer. Learn with industry experts, who use Shiny professionally, how to build an efficient, effective, professional User Interface integrated with your R work.
Four weeks, every Wednesday from 2:30 pm to 6 pm, a 3.5-hour hands-on experience.
An online hands-on workshop to learn R by programming R.
-
On June 07th learn the basis of Shiny, build your very first Shiny application and get an understanding of reactivity with the “Build your first Shiny App” workshop .
-
Follow up on June 14th discover the many packages that expand the Shiny universe and explore how to customize your Shiny app to tailor it to your use case and taste with the “Make an outstanding Shiny App” workshop .
-
Advance your R Shiny development skills on June 21st with the “Advanced Shiny Development” workshop . Get familiar with more complex Shiny constructs and put into practice best practices like using a package structure & testing (packages used:
golem,renv,testthat,usethis,devtools,roxygen2). -
Closing up the series on June 28th, the “Bring a Shiny App to Production” workshop will introduce you to most common DevOps best practices, including automation and collaboration (Git and GitHub), to bring your Shiny app all the way to production .
Register now on our web page and get a discount for joining multiple workshops or for registering multiple people!
Learn how to build a web app using R, exercise reactivity with R Shiny, test the app, and improve your DevOps with an agile approach.
NOTE: The registration for the R learning path are still open for the 2 remaining workshops: “Build an R package” (24/05/2023) and “Becoming an R Developer” (31/05/2023).