- Data Cleansing
- Exploratory Data Analysis
- Tidyverse (R Package)
- Data Analysis
- Data Manipulation
- Programming Principles
- Data Structures
- Relational Databases
- Data Integration
- Data Import/Export
- R Programming
Data Analysis with Tidyverse
Completed by Allison Schiltz
May 4, 2024
17 hours (approximately)
Allison Schiltz's account is verified. Coursera certifies their successful completion of Data Analysis with Tidyverse
What you will learn
You will learn to identify and describe tidy data and transform a non-tidy data set to be tidy in R.
You will learn to analyze data between multiple related data tables.
You will be learn to apply regular expressions to detect patterns in strings and return matches and replace patterns with new values.
Skills you will gain
