This course focuses on transforming non-tidy data into tidy data using Tidyverse functions, which are essential for effective data analysis. You'll learn to reshape and format data for visualization and machine learning. Key topics include converting data formats, manipulating tables with the dplyr package, understanding R data types, processing text data with regular expressions, and conducting basic exploratory data analysis.
🆓 Free to Audit
🕒 Approx. 14 Hours
✏️ Beginner Level
🧾 Paid Certificate Available Upon Completion
🎓 Offered by Johns Hopkins University via Coursera
