By the end of this course, learners will be able to design, build, and deploy interactive R Shiny web applications to analyze and visualize data for real-world NGO use cases. Learners will gain hands-on experience creating responsive dashboards, implementing reactive programming, customizing visualizations, and enabling user-driven data exploration through advanced input controls.
Build Interactive R Shiny Data Apps for NGOs
Build Interactive R Shiny Data Apps for NGOs
This course is part of Build and Evaluate R Shiny Data Apps Specialization
Instructor: EDUCBA
Access provided by Campus BBVA
Gain insight into a topic and learn the fundamentals.
7 hours to complete
Flexible schedule
Learn at your own pace
What you'll learn
Build interactive R Shiny web apps for data analysis and visualization.
Implement reactive dashboards with advanced inputs and customizable visuals.
Deploy production-ready Shiny applications for real-world NGO data use cases.
Skills you'll gain
- Shiny (R Package)
- R Programming
- Exploratory Data Analysis
- Application Development
- Dashboard
- Data Import/Export
- User Interface (UI)
- Web Applications
- Interactive Data Visualization
- User Interface (UI) Design
- Data Visualization Software
- Application Deployment
- Cloud Deployment
- Performance Tuning
- Skills section collapsed. Showing 9 of 14 skills.
Details to know
Shareable certificate
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Assessments
12 assignments
Taught in English
Recently updated!
February 2026
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This course is part of the Build and Evaluate R Shiny Data Apps Specialization
When you enroll in this course, you'll also be enrolled in this Specialization.
- Learn new concepts from industry experts
- Gain a foundational understanding of a subject or tool
- Develop job-relevant skills with hands-on projects
- Earn a shareable career certificate
There are 3 modules in this course
This module introduces learners to the fundamentals of R Shiny application development, focusing on best practices, user interface design, interactive inputs, reactive programming, and exploratory data analysis to build a strong foundation for creating data-driven web applications for NGO use cases.
What's included
9 videos4 assignments
This module focuses on improving data visualizations and user experience by adding advanced plotting features, interactive controls, customization options, and real-world case study implementation to build more engaging and insightful Shiny applications.
What's included
9 videos4 assignments
This module enables learners to scale, optimize, and deploy professional Shiny applications by improving performance, organizing complex layouts, integrating advanced user inputs, and deploying apps to the cloud for real-world accessibility.
What's included
9 videos4 assignments
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