With the exponential growth of data volume driven by smart devices, the Internet of Things (IoT), and Industry 4.0, artificial intelligence and data-centric solutions have become a strategic necessity today. Centering on the competence to make accurate decisions by analyzing data, this study offers a comprehensive introduction to the R programming language, which is recognized globally as a standard in data mining. Framed through the R and RStudio platforms, the content details a broad technical spectrum with practical examples, ranging from basic variable structures to loops, and from functional programming to error handling mechanisms and complex data types. In addition to the principles of working with different file formats such as CSV, Excel, and JSON, the book also covers data visualization and geographic information systems using advanced libraries like ggplot2 and plotly, serving as a guide that bridges academic discipline and field application in the processes of effective data management and analysis.