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Getting Started with R and the Tidyverse

Learn the fundamentals of R, then get started with the tidyverse: build plots with ggplot2 and transform data with dplyr.

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Course Objectives

  1. Describe what R is and why it's widely used for data analysis and statistics
  2. Write basic R code using arithmetic, variables, relational operators, vectors, and functions
  3. Explain how functions are organized into packages, distributed through repositories, and loaded from libraries, and install and load packages yourself
  4. Describe what the tidyverse is and how tidyverse code is written
  5. Create a plot with ggplot2 and transform a dataset with dplyr

Curriculum45 min

  • Meet R
  • What is R?
  • Your First R Code
  • R Fundamentals
  • Variables and Vectors
  • Variables
  • Vectors
  • Variables and Vectors
  • Functions and Packages
  • Functions
  • Packages, Repositories, and Libraries
  • Functions and Packages
  • The Tidyverse in Action
  • What is the Tidyverse?
  • Visualize Data with ggplot2
  • Transform Data with dplyr
  • Final Assessment and Recap
  • Exercise: Analyze Animal Sleep Data
  • Course Recap
  • Next Steps
  • Wrap Up

Course Objectives

  1. Describe what R is and why it's widely used for data analysis and statistics
  2. Write basic R code using arithmetic, variables, relational operators, vectors, and functions
  3. Explain how functions are organized into packages, distributed through repositories, and loaded from libraries, and install and load packages yourself
  4. Describe what the tidyverse is and how tidyverse code is written
  5. Create a plot with ggplot2 and transform a dataset with dplyr

Curriculum45 min

  • Meet R
  • What is R?
  • Your First R Code
  • R Fundamentals
  • Variables and Vectors
  • Variables
  • Vectors
  • Variables and Vectors
  • Functions and Packages
  • Functions
  • Packages, Repositories, and Libraries
  • Functions and Packages
  • The Tidyverse in Action
  • What is the Tidyverse?
  • Visualize Data with ggplot2
  • Transform Data with dplyr
  • Final Assessment and Recap
  • Exercise: Analyze Animal Sleep Data
  • Course Recap
  • Next Steps
  • Wrap Up