First, you’ll learn techniques like string indexing and concatenation to interpret, process, and analyze text data. Next, you’ll leverage the lubridate package to overcome the unique difficulties of working with dates and times in R. Finally, you’ll learn how to vectorize a function using the map function.
Best of all, you’ll learn by doing — you’ll practice and get feedback directly in the browser. At the end of the course, you’ll work on the second part of a guided project that will enable you to apply control flow loops and functions to create a reusable data workflow.
- Interpreting, processing, and analyzing text data
- Working with strings, dates, and times in R
- Employing the map function from the purrr package
- Completing an in-depth data analysis project workflow using R
Specialized Data Processing in R [4 lessons]
Projects in this course
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