Learning R language is important in data science because: Statistical Analysis: R is built specifically for statistics, making it ideal for advanced statistical modeling. Data Visualization: It offers powerful libraries like ggplot2 and shiny for high-quality, customizable visualizations. Data Handling: R is excellent at handling and cleaning large datasets efficiently. Research & Academia: It's widely used in academia and research for publishing reproducible results. Community & Packages: It has a rich ecosystem of packages (like caret, tidyverse) tailored for data science tasks. In short: R is a go-to tool for statisticians and data scientists needing deep statistical insights and visualization.