Data Integration and Application Development with R

In today's data-driven world, the ability to connect disparate data sources and build functional applications is a crucial skill. This text-based course guides you through the process of integrating data and developing practical applications using the R programming language. You will transition from writing basic R scripts to designing cohesive data workflows and building interactive applications. You will learn how to pull data from web APIs, clean and combine complex datasets, and share your insights through structured R applications. What you'll learn: 1. Understand foundational data integration concepts and modern R package ecosystems. 2. Connect to external data sources and ingest data using web APIs in R. 3. Clean, transform, and merge diverse datasets using tidyverse principles. 4. Build interactive data applications and dashboards using modern R frameworks. 5. Implement error handling and automated workflows for robust data pipelines. 6. Apply best practices for code formatting, documentation, and project organization. Starting with core integration terminology, this course guides you step-by-step through data ingestion, transformation, and application development, concluding with practical deployment concepts. This course is designed for aspiring data analysts and programmers who have a basic familiarity with R and want to build practical, integrated data solutions. No advanced engineering experience is required. Start reading today to unlock the full potential of R for data integration.