Learning Path: Introduction to R Shiny

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Enhance your data science toolkit with our “Introduction to R Shiny” learning path: build your first shiny app, make it shine and robust, build a package and bring it to production.

R is among the most popular programming, scripting, and markup languages. Written by statisticians for statisticians, it is an incredible tool for data exploration, data manipulation, visualization and data analysis.

R Shiny is empowered data science through interactive interface. By providing your R 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 consecutive Wednesdays, from 3 PM (NEW) to 5:30 PM (CEST), a 3.5-hours hands on experience.

Learn with industry experts with more than ten years experience using R professionally how to efficiently use R and the wide range of its possibilities.

  • On August 31st 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 September 7th 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 a Shiny App sparkle” workshop.

  • Advance your R Shiny development skills on September 14th 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.

  • Closing up the series on September 21st, the “Bring a Shiny App to Production” workshop will introduce you to most common DevOps best practices, including automation and collaboration (Git), to bring your Shiny app all the way to production deploying on ShinyApps.io.

With this series we aim at giving you an overview of programming in R Shiny, provide practical examples of effective usage of the language, describe best development practices and most common data analysis and technical tools.

Register now on our web page and get a discount for the full learning path!

Full shiny workshop offer

Learning path: Shiny

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.

Each workshop can be taken stand-alone but there are convenient deals for following the whole or a part of the path learning paths.

Register directly on our website for multiple workshops.

  • Early bird discount.
  • Register more attendees and get an additional discount.
  • Register for two or more workshops in the path for a further discount.

NEW: the workshops will be recorded. Recording will be available for a separate purchase (only for the attendees) after the end of a workshop.

Contact us for any further information or if you would like to have a custom workshop tailored to your needs.

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