R is one of the most widely used programming languages for data analysis, statistics, and research. This course is designed to help beginners learn R programming step by step using RStudio, with a strong focus on clarity and practical understanding.
R Programming Made Simple: From Beginner to Data Analysis starts from the very basics and gradually builds your confidence in writing and understanding R code. You will begin by installing R and RStudio and learning how to navigate the RStudio environment. From there, you will explore core programming concepts such as variables, data types, arithmetic and comparison operators, and control flow.
As the course progresses, you will learn how to work with important R data structures including vectors, lists, matrices, and data frames. You will also learn how to write your own functions and understand common errors in R, helping you debug your code more effectively.
The course concludes with practical data analysis topics, including working with joins and performing basic data analysis tasks using real examples. All lessons are explained clearly and demonstrated directly in RStudio, making the course suitable even if you have no prior programming experience.
This course is ideal for students, beginners in data analysis, researchers, and professionals who want a clear and structured introduction to R programming without heavy mathematics or complex theory.
