R Programming for Data Science Foundations

Data science has become an essential pillar of modern decision-making across engineering, business, and technology. If you want to harness the power of data, learning R is one of the most effective ways to start. This course introduces you to R programming from the ground up, designed specifically for beginners who want to build a strong foundation in data analysis. You will transition from writing your first line of code to cleaning raw datasets, performing exploratory data analysis, and generating clear data insights. We emphasize structured thinking and clean coding practices, ensuring you can write reproducible and efficient R scripts. What you will learn: - Understand foundational R syntax, variable types, and data structures like vectors and data frames - Import and clean messy datasets using modern tidyverse packages - Perform exploratory data analysis to discover patterns, trends, and anomalies in your data - Apply basic statistical methods and hypothesis testing to validate your data findings - Write reproducible R scripts utilizing modern project workflows and clean code formatting We begin with essential terminology, setup instructions, and core programming concepts before moving step-by-step into data manipulation and analytical techniques. Through structured readings and written code exercises, you will develop the practical skills needed to handle real-world data. This course is designed for beginners, computer engineering students, and aspiring analysts with no prior programming experience. Start your data science journey today by mastering the fundamentals of R.