This series aims to equip intermediate level learners with the essential knowledge and skills for effective data analysis using the R programming language. From foundational syntax and data types to advanced statistical analysis, each post covers key topics like data manipulation, visualization, and hypothesis testing. With step-by-step examples, explanations, and practice problems, readers will gain the expertise needed to draw insightful conclusions from their data.