Data Analysis and Reporting with R, RStudio, and Quarto

Understanding how to extract actionable insights from raw data is an essential skill across research, business, and technology. This course guides you step-by-step through the complete data analysis lifecycle using R, RStudio, and Quarto publishing tools. You will begin by mastering core data concepts and fundamental R syntax before moving into practical data workflows. Learn how to transform messy datasets into clean analysis-ready structures, perform exploratory statistical analysis to uncover patterns, and generate clear visualizations. Finally, compile your code, commentary, and figures into automated, professional analytical reports. What you'll learn: - Understand foundational R syntax, core data structures, and essential statistical terminology - Import data from multiple sources and formats into RStudio - Clean, filter, and preprocess raw datasets using modern tidyverse conventions - Perform exploratory data analysis to identify key statistical distributions and relationships - Design customized, informative data visualizations to highlight trends - Build automated, beautifully formatted interactive reports using Quarto The course begins with clear explanations of fundamental terminology and environment setup before guiding you through written code walk-throughs and real-world analytical scenarios. This program is tailored for absolute beginners and aspiring data analysts with no prior programming experience required. Start reading today and build your data analysis skills with R.