Course Syllabus

Module 1: Shiny Overview & Setup (3 hrs)

• Understand the framework & reactive design: ui, server, and app.R structure
• Install R, RStudio, Shiny package; run your first “Hello world” app.

Module 2: UI Components & Layout (5 hrs)

• Explore input/output widgets: selectInput, sliderInput, textInput, renderPlot, renderTable
• Build responsive layouts with fluidPage, sidebarLayout, and bslib for thematic styling

Module 3: Reactive Programming (5 hrs)

• Master reactive(), observe(), reactive values, and dependencies.
• Use effective patterns to avoid common pitfalls in app logic

Module 4: Data Handling & Visualization (6 hrs)

• Integrate data sources: CSV, JSON, SQL.
• Build interactive visualizations with ggplot2, plotly, and leaflet

Module 5: Shiny Modules & Advanced Architecture (5 hrs)

• Architect modular UI/server components for scalability.
• Promote code reusability, maintainability, and team collaboration

Module 6: Interactivity & Dynamic UI (4 hrs)

• Implement conditional panels, dynamic inputs, file uploads, and download handlers .
• Add interactivity via polish and custom JavaScript integration.

Module 7: Security & Performance (4 hrs)

• Implement input validation, session management, and production-level security .
• Optimize app performance with profiling and UI/logic tuning.

Module 8: Testing & Quality Assurance (4 hrs)

• Write unit tests and snapshot tests for modules.
• Use best practices for debugging and app validation

Module 9: Deployment & Monitoring (4 hrs)

• Deploy to Shiny Server, shinyapps.io, or Posit Connect
• Monitor usage, logs, and scale resources.

Module 10: Capstone Project (5 hrs)

• Build a full app: data ingestion, reactive logic, visualizations, modular architecture, secure deployment.
• Present, peer-review, and refine your application.

• Key Features

    Live instructor-led labs: build real Shiny apps, decode reactive workflows, and debug live.

    Project-based learning from module-wise practice to a final capstone.

    Modern architecture taught: UIs, modules, performance tuning, and production-ready deployment.

    Rich visualization and interactivity: ggplot2, Plotly, Leaflet, JS integration.

    Production workflow focus: testing, app hardening, deployment pipelines.

    12-month access: session recordings, code templates, community forums.

    Career support: portfolio-ready apps, resume review, and interview prep for Shiny-related roles.