- R Programming
- Ggplot2
- Data Cleansing
- Relational Databases
- Tidyverse (R Package)
- Data Import/Export
- Programming Principles
- Data Analysis
- Data Structures
- Data Manipulation
- Data Transformation
Data Analysis with Tidyverse
Completed by Imani Sanders
March 9, 2024
17 hours (approximately)
Imani Sanders'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
