Build and Evaluate R Shiny Data Apps

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.

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. This course benefits learners by bridging the gap between data analysis and web application development using R, without requiring prior web development knowledge. Participants will learn how to transform static analyses into dynamic, user-friendly applications that empower non-technical stakeholders to interact with data, uncover insights, and support evidence-based decision-making. What makes this course unique is its project-based, NGO-focused approach, guiding learners step by step through the creation of a complete Shiny application—from foundational concepts and best practices to performance optimization and cloud deployment. Through a comprehensive case study, learners will build a flexible, production-ready data analysis web app while mastering industry-relevant Shiny skills that are directly applicable to social impact, analytics, and data-driven roles.