This course tackles the challenging task of importing and harmonizing data for statistical analysis in R. You'll learn to bring data into R from common formats like delimited files, spreadsheets, and relational databases and to use Tidyverse tools for data preparation, visualization, and modeling. Techniques for web scraping and obtaining data from web APIs are also covered. This course is ideal for those working with diverse organizational data sources.
🆓 Free to Audit
🕒 Approx. 14 Hours
✏️ Beginner Level
🧾 Paid Certificate Available Upon Completion
🎓 Offered by Johns Hopkins University via Coursera
