Course Outline
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An overview of Shiny
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Installation of Shiny for a local use
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Basic Shiny concepts
- Basic control accessories - Buttons, sliders, drop down menus
- Program structure ui.r, server.r
- Building first application
- Running your application
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Customizing interface
- Html links in Shiny
- JavaScript and Shiny
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Advanced control accessories
- Showing and Hiding elements of UI
- Dynamic user interfaces
- Advanced reactivity
- Animation
- Downloading uploading data
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Sharing Shiny web applications
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An overview of Shiny extensions
Testimonials (10)
The pace was just right and the relaxed atmosphere made candidates feel at ease to ask questions.
Rhian Hughes - Public Health Wales NHS Trust
Course - Introduction to Data Visualization with Tidyverse and R
The flexible and friendly style. Learning exactly what was useful and relevant for me.
Jenny
Course - Advanced R
The subject matter and the pace were perfect.
Tim - Ottawa Research and Development Center, Science Technology Branch, Agriculture and Agri-Food Canada
Course - Programming with Big Data in R
I really was benefit from the real life practical examples.
Wioleta
Course - Data and Analytics - from the ground up
the clarity with which he explained the entire course, as well as the willingness to return to the syllabus when necessary
Carlos Eloy - AMERICAN EXPRESS COMPANY MEXICO
Course - Data Analytics With R
Machine Translated
Very tailored to needs.
Yashan Wang
Course - Data Mining with R
The trainer was so knowledgeable and included areas I was interested in.
Mohamed Salama
Course - Data Mining & Machine Learning with R
I feel more confident with coding now. I've never done it before but now I understand that it's not rocket science and I can do it when necessary.
Anna - Birmingham City University
Course - Foundation R
Well thought out and high grade planning materials.
Andrew - Office of Projects Victoria - Department of Treasury & Finance
Course - Forecasting with R
Good detail on what R is used for and how to start using it right away