In this course, we aim to provide an introduction to R and offer insights into its functionality.

In an era of expanding data size and diversity, the importance of employing an effective programming language for data management and analysis has grown significantly. R stands out as one of the most widely used statistical programming tools among statisticians and data scientists. It is a free, open-source system, renowned for its robust capabilities in data visualization, statistical analysis, and modeling. R is compatible with Windows, Mac OS X, and Linux operating systems.

This course is designed to cover fundamental topics, including software installation, interface navigation, data importation, and data management for subsequent analysis. Throughout the course, we will illustrate each subject with practical examples, allowing you to explore the program's functionality. It's important to note that no prior computational experience is required to excel in this course.