Course Details

Course Description

This 3-day hands-on workshop on R Programming is designed to introduce participants to data analysis and visualization using R in a simple, practical, and beginner-friendly manner. The course focuses on learning by doing, enabling participants to work with real-world datasets from day one. Participants will start by understanding the basics of R and the RStudio environment, followed by working with data structures such as vectors, data frames, and lists. The workshop emphasizes data handling, cleaning, and manipulation techniques that are essential for data analytics and academic research. Special attention is given to writing simple R scripts that can analyze datasets efficiently without prior programming experience. The course also covers data visualization using Base R and ggplot2, allowing participants to create meaningful charts and graphs to interpret data effectively. On the final day, participants will apply their learning through a guided mini project, where they will analyze a real dataset, generate insights, and present visual outputs. This workshop is ideal for students, faculty members, and professionals who want a quick and practical introduction to R programming for data analytics, research, and project work. By the end of the program, participants will be confident in using R for basic data analysis tasks and further learning in data science.

Course Curriculum