There are many reasons to learn R programming language. Here are a few:

• Data analysis: R is designed for data analysis, and it provides a wide range of tools for data manipulation, visualization, and statistical analysis. If you work with data in any capacity, learning R can help you be more efficient and effective.
• Flexibility: R is a flexible language that can be used for a wide range of tasks, from exploratory data analysis to machine learning and beyond. It is also extensible, with a large collection of user-contributed packages that can be used to extend its capabilities.
• Community: R has a large and active community of users and developers, which means that there are many resources available for learning and getting help. Whether you're just starting out or you're an experienced user, there is always someone in the community who can help you with a problem or question.
• Open source: R is open source, which means that the code is freely available and can be modified and distributed by anyone. This has led to a vibrant ecosystem of packages and tools, as well as a culture of collaboration and sharing.
• Career opportunities: R is used in a wide range of industries, including finance, healthcare, government, and more. If you have skills in R, you may be well-positioned for a career in data analysis, data science, or related fields.

Overall, learning R can be a valuable skill for anyone who works with data or is interested in data analysis and visualization. With its powerful tools, active community, and flexible capabilities, R is a language that is well worth learning.

Get started on learning the basics of R using this tool here