This Guest Lecture on Statistics with R Programming offers an insightful introduction to statistical analysis using the powerful and widely-used R language. The session will cover essential statistical concepts such as data visualization, descriptive statistics, hypothesis testing, regression analysis, and data interpretation, all demonstrated through practical R code. Ideal for students and researchers, the lecture aims to bridge the gap between theoretical statistics and real-world data analysis, helping participants develop analytical thinking and hands-on skills for academic projects and industry applications.