In this course, learners will develop a thorough foundation in R programming – from core language concepts and data structures to advanced statistical modelling and visualization. Learners will explore R vectors, matrices, arrays, lists, data frames, factors, and strings, and apply control flow, looping, functions, and object systems to write structured R programs. They will load, transform, filter, join, and visualize datasets, and apply a full range of statistical techniques including probability distributions, hypothesis testing, regression, classification, clustering, and ensemble modelling. Through extensive hands-on labs, learners will tackle real-world datasets covering topics such as population growth, housing, weather, life expectancy, and income prediction. They will also build advanced and interactive visualizations using R, culminating in bootcamp – style sessions that reinforce practical data visualization skills.