Course Structure

The Full Course Cheese Board

This page serves as an inventory of the material associated with each subsection of this site. These are also available in the Data in the Wild Github repository, which can be accessed here: [insert link of canonical version].

Note: The instructor versions of lessons are also available as PDFs, and they can be downloaded from the righthand table of contents within the respective module subsection (e.g. Click on 1.1: Introduction to RStudio in the left sidebar > navigate your attention to the table of contents on the right side of the screen > the link to the PDF should be the last option).

Module	Title	Lecture / Code-along (.Rmd)	Data sets (.csv)	Discussions (.txt)	Assignments (.Rmd)
1.1	Introduction to RStudio	Student Instructor	Figure how to download all in a zip	Discussion 1 Discussion 2	Assignment 1 Assignment 2 Assignment 3
1.2	Introduction to Coding	Student Instructor		Discussion 1 Discussion 2
1.3	2-dimensional Data and the tidyverse	Student Instructor		Discussion 1 Discussion 2
2.1	Introduction to Descriptive Statistics and Data Visualization	Student Instructor		Discussion 1 Discussion 2
2.2	Writing Functions	Student Instructor		Discussion 1 Discussion 2
2.3	Plotting with ggplot2	Student Instructor		Discussion 1 Discussion 2
2.4	A Visualization Primer	Student Instructor		Discussion 1 Discussion 2
2.5	Sick Fish	Student Instructor		Discussion 1 Discussion 2
2.6	Exploring geom Functions	Student Instructor		Discussion 1 Discussion 2
2.7	Wrap-Up	Student Instructor		Discussion 1 Discussion 2
3.1	Leopard Seals	Student Instructor		Discussion 1 Discussion 2
3.2	T-Tests	Student Instructor		Discussion 1 Discussion 2
3.3	Comparing (Multiple) Means	Student Instructor		Discussion 1 Discussion 2
3.4	Combining Data (Joins and Binds)	Student Instructor		Discussion 1 Discussion 2
3.5	K-Nearest Neighbor	Student Instructor		Discussion 1 Discussion 2
4.1	Roads and Regressions	Student Instructor		Discussion 1 Discussion 2
4.2	Multiple Regression	Student Instructor		Discussion 1 Discussion 2
4.3	Using Functions to Automate Tasks	Student Instructor		Discussion 1 Discussion 2