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Course Outline

Introduction to Shiny

  • Overview of Shiny and its functionality.
  • Installation and initial setup.
  • Review of Shiny examples and the gallery.

UI and Server Architecture

  • Analyzing the ui.R and server.R components.
  • Utilizing fluidPage(), sidebarLayout(), and other layout functions.
  • Defining input controls and output displays.

Reactivity and Dynamic Interactions

  • Working with reactive expressions and observers.
  • Managing application behavior through reactive inputs.
  • Troubleshooting reactivity issues.

Data Visualization and Reporting

  • Embedding ggplot2 and plotly within Shiny apps.
  • Creating reactive tables using DT or reactable.
  • Generating downloadable reports via rmarkdown.

Advanced UI and Customization

  • Implementing tabs, conditional panels, and modals.
  • Applying custom CSS and themes.
  • Using Shiny modules to enhance code reusability.

Deployment and Hosting

  • Publishing apps to Posit Cloud or Shinyapps.io.
  • Executing apps locally or on Shiny Server.
  • Managing project dependencies and version control.

Case Study and Application Design

  • Constructing a comprehensive dashboard from the ground up.
  • Incorporating interactive filters and user-driven insights.
  • Best practices for performance, security, and scalability.

Summary and Next Steps

Requirements

  • Foundational knowledge of R programming.
  • Experience in data analysis or visualization.
  • Basic familiarity with HTML and CSS is beneficial but not mandatory.

Target Audience

  • Data analysts and data scientists.
  • R developers aiming to create interactive dashboards.
  • Researchers and educators who visualize data for public or internal audiences.
 14 Hours

Number of participants


Price per participant

Open Training Courses require 5+ participants.

Testimonials (3)

a multitude of points

Joanna - Instytut Ekonomiki Rolnictwa i Gospodarki Zywnosciowej-PIB
Course - Statistical Analysis with Stata and R

knowledge of the trainer, tailor based, all topics covered

eleni - EUAA
Course - Forecasting with R

The real life applications using Statcan and CER as examples.

Matthew - Natural Resources Canada
Course - Data Analytics With R

Upcoming Courses

Shiny App Web Development with R

2026-10-19 09:30
14 hours
Querétaro - Milenio III
76,413 MXN (Online)
96,413 MXN (Classroom)

Shiny App Web Development with R

2026-11-02 09:30
14 hours
Queretaro - Constituyentes
76,413 MXN (Online)
96,413 MXN (Classroom)

Shiny App Web Development with R

2026-11-16 09:30
14 hours
Puebla - Triangulo Las Animas
76,413 MXN (Online)
96,413 MXN (Classroom)

Shiny App Web Development with R

2026-11-30 09:30
14 hours
Puebla - Fratta Center
76,413 MXN (Online)
96,413 MXN (Classroom)

Shiny App Web Development with R

2026-12-14 09:30
14 hours
Mexico City - Torre Concreta
76,413 MXN (Online)
96,413 MXN (Classroom)

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