Data Analysis and Visualization with R

Are you looking to make sense of data but don't know where to start? This course provides a practical introduction to data analysis and visualization using the R programming language, designed specifically for beginners. By the end of this course, you will be able to confidently import, clean, and explore datasets. You'll learn to ask interesting questions and answer them by creating clear, informative visualizations, transforming raw numbers into compelling stories and actionable insights. What you'll learn: - Understand the fundamentals of the R language and the Tidyverse ecosystem. - Transform and clean messy data into tidy, analysis-ready formats. - Create a wide range of publication-quality data visualizations from scratch. - Apply exploratory data analysis techniques to uncover hidden patterns and insights. - Generate reproducible reports to document and share your findings using Quarto. - Practice foundational version control concepts with Git to track your projects. We begin with the core concepts of R programming, then progress through hands-on exercises in data manipulation and visualization, ensuring you build a solid foundation step by step. This course is for absolute beginners. No prior experience with programming or data analysis is required to get started. Start your journey into the world of data today.