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 (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
Well thought out and high grade planning materials.
Andrew - Office of Projects Victoria - Department of Treasury & Finance
Course - Forecasting with R
Wasn't boring, the trainer could keep the attention, the topics were covered in depth.
Marta - Ministerstwo Zdrowia
Course - Advanced R Programming
Very tailored to needs.
Yashan Wang
Course - Data Mining with 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
At the end of the class, we had a great overview of the language, we were provided tools to continue learning and were provided suggestions on how to continue learning. We covered AI/ML information.
Victor Prado - Global Knowledge Network Training Ltd
Course - R
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 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
It was very informative and professionally held. Wojteks knowledge level was so advanced that he could basically answer any question and he was willing to put effort into fitting the training to my personal needs.
Sonja Steiner - BearingPoint GmbH
Course - R Programming for Data Analysis
The trainer was so knowledgeable and included areas I was interested in.