Data Analysis with R and Tidyverse

Data is the backbone of modern decision-making, but raw information is only valuable when you know how to interpret it. This course provides a clear path for anyone looking to enter the world of data science using R, a language built specifically for statistical computing and analysis. You will go from understanding basic syntax to performing complex data transformations, gaining the skills needed to handle real-world datasets with confidence. By focusing on the modern Tidyverse ecosystem, you will learn the most efficient and readable ways to write code today. What you'll learn: - Understand R syntax, data structures, and foundational programming concepts - Clean and reshape messy datasets using dplyr and modern Tidyverse tools - Create professional-grade visualizations with ggplot2 to communicate findings - Perform exploratory data analysis to identify trends, outliers, and patterns - Apply statistical methods and hypothesis testing to validate your data insights - Practice modern workflows using the native pipe operator for cleaner code The course begins with essential terminology and environment basics before moving into hands-on data manipulation. You will progress through written explanations and code-based exercises that mirror the daily tasks of a professional analyst. This course is designed for absolute beginners with no prior programming or statistical experience required. Start building your data analysis skills through clear, step-by-step written instruction.