Event box

This class is a continuation of Part 1, and participants will build on their knowledge and skills acquired in Part 1. R is a popular statistical computing programming language used to explore data and make plots. In this class, participants without any background in programming will learn the basics of the R programming language and use it to explore simple data sets.

At the end of this class, participants will be able to:

1. Perform basic operations on data frames in R.
2. Subset different types of data structures in R.
3. Implement basic control flow logic in R.
4. Explore a real data set for hands-on experience.

This class is in person, please bring your own laptop. If you are planning to attend Part 1 (previous week), make sure you register for each class separately.

Accreditation Statement
In support of improving patient care, Stanford Medicine is jointly accredited by the Accreditation Council for Continuing Medical Education (ACCME), the Accreditation Council for Pharmacy Education (ACPE), and the American Nurses Credentialing Center (ANCC), to provide continuing education for the healthcare team.
Credit Designation
American Medical Association (AMA)
Stanford Medicine designates this live activity for a maximum of 1.5 AMA PRA Category 1 Credits™. Physicians should claim only the credit commensurate with the extent of their participation in the activity.