University of Colorado Boulder - Data Analysis with Tidyverse
- Offered byCoursera
Data Analysis with Tidyverse at Coursera Overview
Duration | 17 hours |
Start from | Start Now |
Total fee | Free |
Mode of learning | Online |
Official Website | Explore Free Course |
Credential | Certificate |
Data Analysis with Tidyverse at Coursera Highlights
- Earn a Certificate upon completio
Start instantly and learn at your own schedule
Data Analysis with Tidyverse at Coursera Course details
- It is best taken following the first course in the specialization or if you already are familiar with ggplot, RMarkdown, and basic function writing in R
- You will use learn to use readr to read in your data, dplyr to analyze your data, and stringr and forcats to manipulate strings and factors
Data Analysis with Tidyverse at Coursera Curriculum
Projects, Tibbles and Importing Data
Projects and the R Environment
Importing Data
Introduction to Tibbles
Tibble Indexing
Parsing Vectors
Parsing Dates
Using the readr Library
Tibbles and DataFrames
Importing and Parsing Data
Tidying Data
What is Tidy Data?
Pivoting Data
Separating and Uniting Variables
Handling Missing Data
Pivoting Data and Grouping
Tidying Multiple Observations Per Row
Other Resources
Tidying Data
Relational Data
Working with Packages
Mutating Joins
Filtering Joins
Set Operations
Data Transformation with dplyr: Cheat Sheet
Relational Data
String Manipulation and Regular Expressions
Introduction to Strings
Subsetting Strings
Basic String Matching
Anchoring Expressions
Character Classes
Controlling the Number of Pattern Matches
Groups and Backreferences
Detect Matches
Extract Matches
Grouped Matches
String Splitting and regex()
String Manipulation with stringr: Cheat Sheet
String Basics
Regular Expressions
Applying Regular Expressions
Categorical Variables and Factors
What Are Factors
Creating Factors
Other Factor Verbs and the GSS
Modifying Factor Order: Part 1
Modifying Factor Order: Part 2
Modifying Factor Levels
Factors with forcats: Cheat Sheet
Other Resources
Factors