This course is designed to equip students with the skills and knowledge to perform effective data analysis using R, a leading programming language for statistical computing and data visualization.

Students will learn how to import, clean, and manipulate datasets, conduct exploratory data analysis (EDA), and perform statistical testing. The course covers essential R packages like tidyverse for data wrangling and ggplot2 for creating insightful visualizations. Emphasis will be placed on interpreting results and presenting findings in a clear and meaningful way.

By the end of the course, students will be able to independently analyze real-world datasets, derive insights, and communicate results effectively, making R an indispensable tool for modern data analysis.