Course Outline
Introduction
Understanding the Need to Merge Web Development and Data Science
Overview of Shiny
Overview of R
Overview of HTML
Understanding the Benefits of Using Shiny, R, and HTML Together
Installing and Setting Up the RStudio Platform
Installing the Shiny Package
Understanding and Working with the Basics of Shiny
Understanding and Working with the Basics of Reactive Programming
Creating and Running a Shiny Web Application: User Interface Component
Creating and Running a Shiny Web Application: Server Component
Creating a Plot in Shiny
Implementing Reactive Expression for Automatic Updating of Plots in Shiny
Understanding the Benefits and Implications of Reactive Plots for Data Science Applications
Customizing the Appearance of Your Apps Using Shiny's Built-In Functions
Editing the User Interface Code in R to Perform HTML Customization
Summary and Conclusion
Requirements
- Basic experience with R programming
- Basic experience with HTML
Testimonials (5)
That Haytham started with the basics and gave us enough time to do the examples and ensure that we were at the same page before we moved on to the next topic.
Jaco Dreyer - Africa Health Research Institute
Course - R Fundamentals
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 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 flexible and friendly style. Learning exactly what was useful and relevant for me.