As the new financial year starts, it’s time to learn new skills, and data science is a field that is constantly evolving. One question that has been on many people’s minds is whether R is still a relevant and valuable tool to learn. R is a programming language that has been instrumental in advancing the field of data science. It was first released in 1995 and has become a standard statistical analysis and visualization tool. However, new programming languages such as Python and Julia have gained popularity in recent years, leading some to question whether R is still relevant. As data science continues to gain traction in various industries, programming languages such as R have become more essential than ever. Despite the growing popularity of Python and other languages, R remains a powerful tool for data analysis, visualization, and statistical computing. In this blog post, we’ll take a closer look at why R is still relevant and explore the benefits and features of R for data science....
