Tidyverse Skills for Data Science in R

Table of Contents
Introduction to the Tidyverse
	About This Course
	Tidy Data
	From Non-Tidy –> Tidy
	The Data Science Life Cycle
	The Tidyverse Ecosystem
	Data Science Project Organization
	Data Science Workflows
	Case Studies
Importing Data in the Tidyverse
	About This Course
	Tibbles
	Spreadsheets
	CSVs
	TSVs
	Delimited Files
	Exporting Data from R
	JSON
	XML
	Databases
	Web Scraping
	APIs
	Foreign Formats
	Images
	googledrive
	Case Studies
Wrangling Data in the Tidyverse
	About This Course
	Tidy Data Review
	Reshaping Data
	Data Wrangling
	Working With Factors
	Working With Dates and Times
	Working With Strings
	Working With Text
	Functional Programming
	Exploratory Data Analysis
	Case Studies
Visualizing Data in the Tidyverse
	About This Course
	Data Visualization Background
	Plot Types
	Making Good Plots
	Plot Generation Process
	ggplot2: Basics
	ggplot2: Customization
	Tables
	ggplot2: Extensions
	Case Studies
Modeling Data in the Tidyverse
	About This Course
	The Purpose of Data Science
	Types of Data Science Questions
	Data Needs
	Descriptive and Exploratory Analysis
	Inference
	Linear Modeling
	Multiple Linear Regression
	Beyond Linear Regression
	More Statistical Tests
	Hypothesis Testing
	Prediction Modeling
	The tidymodels Ecosystem
	Case Studies
	Summary of tidymodels
About the Authors