Building Data Products with R and Shiny

Static data reports often fail to capture the dynamic nature of real-world questions. To bridge this gap, data professionals must build products that allow users to interact with models and explore findings independently. This course guides you through the process of turning raw analysis into functional, automated data products. You will learn how to structure your code for distribution and create interfaces that turn complex statistics into clear, actionable stories. What you'll learn: - Understand the core concepts of data products and their role in automating complex analysis. - Build interactive web applications using the Shiny framework for R. - Create R packages to document and distribute custom analysis tools and datasets. - Apply storytelling principles to make complex statistical models accessible to a broad audience. - Implement reproducible workflows to ensure your data products remain reliable and maintainable. - Explore modern methods for exposing data models through simple API structures. The course begins with foundational definitions and the logic of data product design before moving into the practicalities of package development and application building. You will learn through written explanations and code-based exercises designed to solidify your understanding of the development lifecycle. This text-based approach ensures you focus on the underlying logic and syntax required for professional deployment. This course is designed for beginners with a basic understanding of R who want to move beyond static reporting. No prior experience in application development or package creation is required. Start building tools that bring your data analysis to life.