R Programming Basics for Data Science

Data science starts with the ability to turn raw information into clear, actionable insights. R is one of the most powerful and widely used programming languages designed specifically for statistical analysis and data visualization. In this text-based course, you will build a solid foundation in R programming from the ground up. You will learn how to write clean code, manipulate complex datasets, and generate meaningful visualizations, preparing you to tackle real-world data challenges with confidence. What you'll learn: - Understand essential R syntax, data types, and foundational programming concepts - Import and wrangle datasets using modern tidyverse packages like dplyr - Create clear, professional data visualizations with ggplot2 - Clean and prepare messy, real-world data for analysis - Apply basic statistical methods to summarize and interpret your findings - Organize your workflow using modern R projects for reproducible analysis You will start by mastering basic R syntax and data structures before progressing to data manipulation, visualization, and practical analysis workflows through written explanations and guided code examples. This course is designed entirely for beginners with no prior programming or data science experience required. Start your journey into data science and unlock the power of R today.