Shiny Training
Develop successful Shiny applications – we show you how. In our Shiny training you will learn how to best showcase your analyses in R.
Shiny Training
Develop successful Shiny applications – we show you how. In our Shiny training you will learn how to best showcase your analyses in R.
Tell your Data Story – interactive and understandable with Shiny
Posit’s R package Shiny brings data science to life. With interactive Shiny Apps you can make your analysis results available quickly and easily. The advantage: no HTML/CSS knowledge is required for implementation – everything is done in R!
As a Full Service Certified Partner of Posit and leading Shiny expert, we enable you to independently develop successful Shiny applications for productive use.
Shiny Training: Topic Overview
- Introduction to Shiny
- Philosophy of Shiny: reactive programming
- Data structures and their properties
- User Interface Design
- Workflow for developing a Shiny application
- Extension packages around Shiny
- Do’s and Don’ts for the productive use of Shiny applications
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Target group: This course is aimed at participants with initial programming experience in R.
Key Facts about our Shiny Trainings
Date and time
We offer our Shiny Training as an individual training at a suitable date of your choice. We will inform you about open course offers here, via newsletter or social media.
Location and language
Shiny training can be held at your site or remotely.
Our trainers can train you in German or English.
Offer
What prior knowledge do you already have? What are your goals with Shiny?
Contact us, we will be happy to make you an individual quote for your training.
Certified trainers and proven training concepts for your advantage in knowledge
Our R training courses are the German-language continuing education program for the leading data science language.
Already more than 2,500 participants were enthusiastic about the practical experience of our certified R & Shiny trainers and the structure of our trainings.
“The eoda Shiny training was very successful. We were able to apply the knowledge we learned directly to our projects.”
Jan Grade | CEO | Research Analytics
