[This article was first published on Mirai Solutions, and kindly contributed to R-bloggers]. (You can report issue about the content on this page here)

Want to share your content on R-bloggers? click here if you have a blog, or here if you don't.Expand your data science toolkit with our “Shiny” learning path. Dive into programming your very first shiny app, ensuring its brilliance and stability before launching it into production.

R Shiny facilitates data science by integrating your code with a user interface. With this, it empowers sharing the insights of data analysis with business users, facilitates decision-making through visualization and interaction, fosters collaboration, and supports the seamless transition of your work from prototype to production. This online workshop path is the ideal opportunity to strengthen your foundations in R Shiny programming.

The “Shiny” Learning Path consists of four workshops tailored to guide you from a complete beginner to a skilled Shiny developer. Gain insights from industry professionals proficient in Shiny, as they teach you to create a polished, efficient, and professional User Interface seamlessly integrated with your R projects.

From 2:30 pm to 6 pm (CEST), a 3.5-hour hands-on experience to learn R by programming R..

  • Begin by mastering the fundamentals of Shiny, building your inaugural Shiny application, and grasping the concept of reactivity with the “Build your first Shiny App” workshop.
  • Continue your journey by uncovering the multitude of packages that broaden the Shiny landscape. Explore the art of customizing your Shiny application to align perfectly with your unique requirements and aesthetic preferences through the “Make an outstanding Shiny App” workshop.
  • Elevate your proficiency in R Shiny development through the “Advanced Shiny Development” workshop. Familiarize yourself with sophisticated Shiny constructs and implement industry best practices such as utilizing modules, adopting a package structure and testing, with tools like golem, renv, testthat, usethis, devtools, roxygen2.

  • Concluding the series, the “Bring a Shiny App to Production” workshop will familiarize you with essential DevOps best practices, emphasizing automation and collaboration through tools like Git and GitHub, enabling you to seamlessly transition your Shiny app into production.

    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.

    1. Build your first Shiny App (on demand)
    2. Make an outstanding Shiny App (on demand)
    3. Advanced Shiny Development (14/05/2024)
    4. Bring a Shiny App to Production (16/05/2024) The 1st and 2nd workshops are available on demand for those teams wishing to follow the full path including workshops for beginners, get in touch to schedule a date.

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

Register now directly on our website and profit from our deals.

  • Early bird discount (-15 CHF).
  • Register more attendees and get an additional discount (-10%).
  • Register for two or more workshops in the path for an additional discount (-40 CHF).
  • Access to workshop recordings is always included.

Otherwise, contact us if you would like to have a custom workshop tailored to your needs.

To leave a comment for the author, please follow the link and comment on their blog: Mirai Solutions.

R-bloggers.com offers daily e-mail updates about R news and tutorials about learning R and many other topics. Click here if you're looking to post or find an R/data-science job.

Want to share your content on R-bloggers? click here if you have a blog, or here if you don't.Continue reading: Learning Path: Shiny

See All 875 Episodes of "R-bloggers"