
This course is designed to take your R programming expertise to the next level, building on the foundations laid in the Introduction to R for Data Analysis course. Dive into advanced techniques and powerful tools that will transform your data workflows and analytical capabilities. In this course, you will learn how to write your own custom R functions, reduce redundancy in your code by learning iteration techniques with the purrr package, refactor column variables, reshape your data frames, and join multiple data frames together.
Questions? Call Academic Programs at 801-585-9963 or use our online form.
Students are able to earn a badge by completing more than one course in a designated series. Projects within each course will be graded for competency. This program is a partnership between The University of Utah's Kahlert School of Computing and University Connected Learning. For more, visit: https://continue.utah.edu/proed/biotech
| Date(s) | Day | Time | Location |
|---|---|---|---|
| 02/25/26 - 04/21/26 | Online |
Instructor: TINGYING HE
Questions? Call Academic Programs at 801-585-9963 or use our online form.