The hands-on training session on “Quality Statistics and Data for Everyone” was highly enriching and informative. It provided students with valuable practical exposure to R Studio software, deepening their understanding of statistical tools and data analysis methods. The active engagement and enthusiasm shown by the participants reflected their genuine interest in exploring the real-world applications of statistics.

Moving forward, the department may continue to conduct advanced-level workshops on R programming and data analytics, and encourage students to take up mini research projects involving statistical modeling using R. Such continued initiatives will not only enhance student’s analytical and computational proficiency but also prepare them for research-oriented and data-driven careers in mathematics and applied sciences.