R Programming and Data Analysis with RStudio

Data is one of the most valuable assets in the modern world, but it is only as powerful as your ability to analyze and interpret it. R is the industry-standard language built specifically for statistical computing, data science, and high-quality data visualization. This text-based course takes you from absolute beginner to a confident data analyst using R and RStudio. You will start with core programming concepts, learn to navigate the R environment, and progress to importing, cleaning, and analyzing datasets using modern, efficient workflows. What you'll learn: - Understand foundational R syntax, data types, variables, and core programming structures. - Configure your RStudio workspace and manage data analysis projects efficiently. - Import and clean datasets from various external formats using modern package ecosystems. - Perform exploratory data analysis and calculate key descriptive statistics. - Create professional, presentation-ready data visualizations using ggplot2. - Apply modern coding practices, including the native pipe operator, to write readable and maintainable code. The course begins with essential terminology and environment setup before guiding you through data manipulation, statistical analysis, and visualization. Through clear explanations and written code examples, you will build a solid foundation in modern statistical programming. This course is designed for beginners, students, aspiring data analysts, and anyone looking to build a strong foundation in statistical computing with no prior coding experience required. Start your journey into data science and unlock the power of statistical analysis today.