Data In The Wild
  1. Resources
  • Home
  • Contact Us
  • For Instructors

  • Module 1
    • Overview
    • 1.1: Introduction to R and RStudio
    • 1.2: Intro to Coding in R
    • 1.3: Introduction to the tidyverse
    • Assignment 2
    • Assignment 3
  • Module 2
    • Overview
    • 2.1: Good Food Gone Bad
    • 2.2: Plotting with ggplot2
    • 2.3: Data Visualization
    • 2.4: Exploring geom Functions
    • 2.5: Module 2 Wrap-Up
    • Assignment 1
    • Assignment 2
    • Assignment 3
  • Module 3
    • Overview
    • 3.1: Leopard Seals
    • 3.2: T-Tests
    • 3.3: Comparing (Multiple) Means
    • Assignment 1
    • Assignment 2
  • Module 4
    • Overview
    • 4.1: Combining Datasets (Joins & Binds)
    • 4.2: K-Nearest Neighbor
    • 4.3: Roads and Regressions
    • 4.4: Multiple Regression
    • 4.5: Writing Functions
    • Assignment 1
    • Assignment 2
    • Assignment 3
    • Assignment 4
  • Module 5
    • Overview
    • 5.1: Population Growth
    • 5.2: Sustainable Fishing
    • 5.3: Comparing Populations
    • Assignment 1
    • Assignment 2
    • Assignment 3
  • Final Project

  • Resources

Resources

There are many resources available if you would like to keep building your skills in R, data science, and data visualization beyond this course. Here, we have compiled a list of some places you might turn to for additional nuggets of knowledge.

Learn More!

  • learn-r by Jeff Oliver
    A helpful introductory lesson sequence in R developed by Jeff Oliver, one of the contributors to this course.

  • Hello Data Science
    A beginner-friendly resource designed to introduce students to data science concepts and tools in a clear, accessible way.

  • R for Data Science
    A widely used open-access textbook for learning R, data wrangling, visualization, and analysis.

  • The Carpentries
    A well-known community focused on teaching foundational coding and data skills for research. Their workshops and teaching materials are especially helpful for beginners.

  • From Data to Viz
    A guide for choosing the right kind of visualization for your data.

  • R Charts
    A useful reference for creating and customizing charts and graphs in R.

2026, University of Arizona & Lewis & Clark College

 
  • Made with Quarto