Data Tidying and Importing with R
Completed by Marco Sorbona
March 25, 2026
13 hours (approximately)
Marco Sorbona's account is verified. Coursera certifies their successful completion of Data Tidying and Importing with R
What you will learn
Apply tidy data principles to manipulate and restructure data (e.g., subsetting, adding columns, and transforming data between wide and long formats)
Develop and implement code to join data sets and perform basic web scraping to collect data
Apply data structures such as wide and long formats, using code to convert between these formats as part of data preparation and analysis
Skills you will gain
- Category: Statistical Programming
- Category: Data Transformation
- Category: Data Pipelines
- Category: Tidyverse (R Package)
- Category: Exploratory Data Analysis
- Category: Data Ethics
- Category: R (Software)
- Category: Data Wrangling
- Category: Data Manipulation
- Category: Web Scraping
- Category: Data Preprocessing
- Category: R Programming
