Web Design for Shiny Developers

1-day workshop
Instructor

David Granjon & Maya Gans

Starts on

September 17, 2023

Description

Website design and development is one of the most critical factors contributing to whether the user has a good or poor experience while browsing your site, directly influencing the overall impression of your brand. Besides, bad design decisions can significantly impact app performances. By exposing you to common governing rules of design, this course will walk you through the entire design process, from ideation to execution. These rules will help you to become a better collaborator to design teams, and enable you to create beautiful front-end experiences for Shiny.

Audience

This course is for you if:

  • you are an R developer with basic Shiny knowledge

  • you want to quickly test new business ideas

  • you want to increase the reach of your apps and websites

Instructors

David Granjon holds a PhD in applied mathematics from Université Pierre et Marie Curie and Université de Lausanne. He is the founder and maintainer of the open source RinteRface organisation (https://rinterface.com) where he develops Shiny extensions such as {bs4Dash}, {shinyMobile} or {shinydashboardplus} and delivers novel advanced Shiny workshops in worldwide R conferences like useR or R in Pharma. David works as a full stack software developer at Novartis where he provides his expertise to help associates to design production ready shiny apps, from ideation to headless testing and automated deployment with CICD. He wrote Outstanding User Interfaces with Shiny”, a CRC press book published in 2022 (bookdown version: https://unleash-shiny.rinterface.com/, book: https://www.routledge.com/Outstanding-User-Interfaces-with-Shiny/Granjon/p/book/9780367643652).
Maya Gans is a Data Visualization Engineer at Atorus Research where she designs and develops custom applications using R, JavaScript, or a combination of both. As an intern at RStudio Maya designed TidyBlocks, a visual block based programming language. Maya also co-wrote JavaScript for Data Science. When Maya isn’t designing or programming, she is rock climbing.