- 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 Owen Hyun Yoo
June 16, 2023
17 hours (approximately)
Owen Hyun Yoo'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
