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R ming for beginners

Track :

Programming

Lessons no : 100

For Free Certificate After Complete The Course

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What will you learn in this course?
  • Write and execute basic R scripts for data analysis and visualization using tidyverse packages
  • Import, clean, and manipulate datasets efficiently with R for real-world data projects
  • Create informative data visualizations and dashboards to communicate insights effectively
  • Apply fundamental statistical methods in R to interpret data accurately and make data-driven decisions
  • Utilize R functions and control structures to automate repetitive data tasks and workflows
  • Implement data transformation techniques to prepare datasets for analysis and reporting
  • Debug and troubleshoot R code to ensure accurate and reliable data analysis results
  • Leverage R's data handling capabilities to manage large datasets with efficiency and precision
  • Develop reproducible data analysis reports using R Markdown and RStudio tools
  • Explore data exploration and descriptive statistics to identify patterns and trends in datasets
  • Use R to perform basic machine learning tasks for predictive analytics and modeling
  • Integrate R with other data tools and databases for seamless data management
  • Apply best practices for coding, documenting, and sharing R projects for collaboration
  • Understand the fundamentals of data privacy and ethical considerations in R data analysis
  • Build confidence in using R for beginner-level data science, analytics, and visualization projects
  • Utilize R packages to extend functionality and customize data analysis workflows

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Lessons | 100
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R is a great language for programming beginners to learn, and you don't need any prior experience with code to pick it up. Nowadays, R is easier to learn than ever thanks to the tidyverse collection of packages.