R Programming Foundations for Data Science

Data science relies on powerful tools to transform raw numbers into meaningful insights, and R is one of the most trusted languages for the job. If you want to start analyzing data but have no prior programming experience, learning R is the perfect place to begin. This course guides you through the core concepts of R, from basic syntax to modern data manipulation workflows. You will transition from understanding fundamental data types to writing your own scripts that clean, filter, and summarize complex datasets efficiently. What you'll learn: - Understand fundamental R syntax, variables, and essential data types. - Manipulate data structures including vectors, matrices, lists, and data frames. - Apply modern tidyverse techniques to filter, arrange, and transform datasets. - Write clean, reusable code using control flow, loops, and custom functions. - Practice importing raw data and preparing it for exploratory analysis. You will start with the absolute basics of the R language, learning key terminology and foundational definitions. From there, you will progress through structured written explanations and practical code examples to build your confidence in data manipulation and programmatic thinking. This course is designed specifically for beginners with no prior programming or data science experience. Start your data science journey today by mastering the fundamentals of R programming.