The hands-on training introduced students to the fundamentals of R programming, including R environment setup, syntax and basic operations. It covered data manipulation, cleaning and management using R libraries and tools. The training also provided practical exposure to data visualization and statistical computing through real-time exercises. Participants learned how R can be applied to academic projects, research activities and real-world data-driven problem solving.