HSLS Self-Paced Learning: Applying Probability and Data with R to All of Us Datasets

This HSLS self-paced learning resource is a Canvas module taught by:


Are you a UPMC resident or fellow without a Pitt account? You won’t be able to access this Canvas site. Contact us to request access to specific HSLS self-paced course materials.

Is this your first time ever visiting our new HSLS Canvas self-paced learning site?

If so, follow these instructions to access this module:

  1. First, enroll in the HSLS Self-Paced Learning Canvas site (link opens in new tab).
    1. If you are asked to log in, use your Pitt userid and password to log in and go through 2-factor authentication.
    2. Click the “Enroll in Course” button on the right-hand side of the screen.
    3. When the page indicates you’ve successfully enrolled, come back to this instructions tab.
  2. Next, visit the module you’ve selected Applying Probability and Data with R to All of Us Datasets.

Have you already enrolled in our HSLS Canvas self-paced learning site?

If so, proceed directly to your selected learning module, Applying Probability and Data with R to All of Us Datasets.

If you see an “Access Denied” error page,

  1. First, make sure you’re logged into your Pitt account and try the link again.
  2. Perhaps you haven’t in fact enrolled in our Canvas site yet – try the instructions for first-timers above.
  3. If all else fails, email Dr. Sera Thornton, HSLS Instructional Designer for assistance troubleshooting.