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Embark on a transformative journey into R programming and data manipulation with this comprehensive course. It starts with an in-depth overview of R and RStudio, covering installation, configuration, and key features. You'll master navigating RStudio, managing projects, and handling diverse file formats for efficient workflows. The course delves into Rmarkdown for dynamic documentation, blending code, narrative, and visualizations. You'll explore essential data types and structures through hands-on labs, including matrices, arrays, lists, data frames, strings, and DateTime objects. The R programming section covers operators, loops, and functions, enabling you to write clean, modular code. Advanced topics include data import/export, web scraping, and sophisticated data manipulation techniques using piping, filtering, aggregation, reshaping, and joining datasets. You'll create impactful visualizations with ggplot2, plotly, leaflet, and dygraphs. Ideal for aspiring data scientists, analysts, and professionals, this course requires a basic programming understanding and targets beginners to intermediate learners, ensuring you transform raw data into actionable insights and compelling visualizations.