Data Science Foundations with R and Tidyverse

Data-driven decision-making starts with the ability to process and interpret information efficiently. This written course guides you through the essentials of R programming, specifically focusing on the Tidyverse—a collection of powerful tools designed for modern data science. You will transform from a beginner into a confident data analyst capable of handling real-world datasets through structured written lessons and code-based exercises. What you'll learn: - Understand R syntax, data structures, and foundational programming logic. - Master data manipulation techniques to filter, sort, and reshape complex datasets. - Practice data cleaning to ensure accuracy and consistency in your analysis. - Create impactful visualizations using the grammar of graphics for clear communication. - Apply functional programming patterns to automate data workflows and reduce code repetition. - Understand modern R standards, including the native pipe operator for cleaner code. The course begins with essential terminology and environment setup before progressing into hands-on data wrangling and visualization techniques. It is designed for absolute beginners with no prior coding or data science experience. Start building your data science toolkit today with a focus on practical R programming skills.