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R (programming language)

Data Science with R programming course will help you be a master in data manipulation with R, data visualization, and advanced analytics topics like regressions and data mining using RStudio.

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Frequently asked questions
  • What is R?

    R is a programming language and environment specifically designed for statistical computing and data analysis. It provides a wide range of statistical and graphical techniques and is widely used in academia, research, and data-driven industries.

  • How does R differ from other programming languages?

    R is tailored for statistical analysis and data manipulation, making it specialized for tasks like data visualization, statistical modeling, and machine learning. Its extensive collection of packages and libraries supports a broad range of statistical techniques.

  • What are R Packages in the context of programming?

    R Packages are collections of functions, data, and documentation bundled together for specific purposes. They extend R's functionality, allowing users to easily access and apply various statistical methods and tools.

  • How is R used in Data Science?

    R is extensively used in Data Science for tasks such as exploratory data analysis, statistical modeling, machine learning, and data visualization. Its rich ecosystem of packages, including ggplot2 and dplyr, makes it a powerful tool for data scientists.

  • What is RStudio, and how does it complement R?

    RStudio is an integrated development environment (IDE) for R. It provides a user-friendly interface, code editor, and tools for managing R projects. RStudio enhances the R programming experience, offering features like code highlighting, debugging, and interactive data visualization.

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