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R Programming for Beginners

Track :

Programming

Lessons no : 35

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What will you learn in this course?
  • Master data manipulation and visualization techniques using R programming for real-world statistical analysis and reporting
  • Apply R programming skills to clean, analyze, and interpret datasets across various industries and research fields
  • Develop custom functions and scripts in R to automate repetitive data analysis tasks efficiently
  • Create compelling data visualizations and graphics to communicate insights effectively using R libraries
  • Implement statistical models and hypothesis testing in R for data-driven decision making
  • Utilize R packages for data import, export, and transformation to streamline data workflows
  • Troubleshoot common R programming errors and optimize code performance for large datasets
  • Integrate R with other tools and platforms for comprehensive data analysis and reporting solutions
  • Design reproducible research workflows using R to ensure transparency and accuracy in data analysis
  • Leverage R programming skills to enhance data analysis careers and contribute to data science projects

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Lessons | 35

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R is a free software environment for statistical computing and graphics. It compiles and runs on a wide variety of UNIX platforms, Windows and MacOS.