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Build Interactive Data Apps with R Shiny Fundamentals

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Build Interactive Data Apps with R Shiny Fundamentals

Dieser Kurs ist Teil von Spezialisierung „Build and Evaluate R Shiny Data Apps“

Dozent: EDUCBA

Bei enthalten

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2 Module

Verschaffen Sie sich einen Einblick in ein Thema und lernen Sie die Grundlagen.

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Empfohlene Erfahrung

4 Stunden zu vervollständigen

Flexibler Zeitplan

In Ihrem eigenen Lerntempo lernen

2 Module

Verschaffen Sie sich einen Einblick in ein Thema und lernen Sie die Grundlagen.

Stufe Anfänger

Empfohlene Erfahrung

4 Stunden zu vervollständigen

Flexibler Zeitplan

In Ihrem eigenen Lerntempo lernen

Was Sie lernen werden

Explain the architecture of R Shiny apps and how UI and server components interact.
Build interactive user interfaces with inputs, layouts, and reactive outputs.
Develop dynamic Shiny applications to present R analyses as web-based dashboards.

Kompetenzen, die Sie erwerben

Kategorie: Event-Driven Programming
Kategorie: Software Architecture
Kategorie: Data Integration
Kategorie: User Interface (UI)
Kategorie: Interactive Design
Kategorie: User Interface (UI) Design
Kategorie: Dashboard Creation
Kategorie: Server Side
Kategorie: Interactive Data Visualization

Werkzeuge, die Sie lernen werden

Kategorie: Dashboard
Kategorie: UI Components
Kategorie: Shiny (R Package)
Kategorie: Web Applications
Kategorie: R (Software)

Wichtige Details

Zertifikat zur Vorlage

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Kürzlich aktualisiert!

Februar 2026

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6 Aufgaben

Unterrichtet in Englisch

91% of learners achieved a positive career outcome

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Dieser Kurs ist Teil der Spezialisierung Spezialisierung „Build and Evaluate R Shiny Data Apps“

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In diesem Kurs gibt es 2 Module

Learners will build foundational skills to design, develop, and deploy interactive data visualization applications using R Shiny. By completing this course, learners will be able to explain the core architecture of Shiny applications, construct user interfaces with inputs and layout elements, and implement reactive server logic to generate dynamic outputs. The course equips learners with practical knowledge to transform R analyses into engaging web-based applications without requiring prior web development experience.

This course benefits data analysts, statisticians, and R users who want to communicate insights more effectively through interactive dashboards and applications. Learners gain hands-on exposure to Shiny’s UI and server components, learn how data and resources are integrated, and understand how user interactions drive reactive outputs. These skills enable learners to enhance reporting workflows, support data-driven decision-making, and present results in a more accessible and interactive format. What makes this course unique is its step-by-step, fundamentals-first approach. Rather than focusing on advanced frameworks or complex design patterns, the course emphasizes conceptual clarity and practical implementation, allowing learners to build confidence while developing fully functional Shiny applications from the ground up.

Moduldetails

This module introduces the fundamentals of building web applications using R Shiny. Learners explore what Shiny is, why it is valuable for R users, and how a Shiny application is structured. The module walks through creating an empty Shiny app, understanding the roles of the UI and server components, and managing data and supporting resources. By the end of this module, learners will have a clear conceptual foundation for how Shiny applications function and how their core components work together to support interactive data visualization.

Das ist alles enthalten

4 Videos3 Aufgaben

This module focuses on designing and completing interactive user interfaces in R Shiny. Learners practice adding plain text, input controls, and layout elements to build user-friendly interfaces, and then connect these elements to reactive outputs generated by server logic. The module emphasizes how inputs, UI components, and outputs work together to create dynamic and responsive applications. By completing this module, learners will be able to design functional Shiny interfaces that effectively communicate results and respond to user interaction.