Preliminary Program

Because this workshop is focused on a topic that the participants will likely have little-to-no experience with, it is important that the learning material, presentations, and exercises retain consistency throughout the workshop to minimize potential confusion. To this end, the personnel for the workshop will consist of a core set of presenters who will work closely together to produce the main materials for the workshop, along with a group of teaching assistants (~1 TA per 4 – 6 people) to actively work with participants to answer questions and assist with exercises.

Attendee Requirements | Zoom application installed on your computer and a reliable internet connection. Workshop will be taught using RStudio Cloud (requires the creation of a free account). At this time, we do not anticipate any software will need to be installed on attendee computers (aside from the Zoom application and a modern web browser)

Instructors & Teaching Assistants

Ryan Benz (Seer Inc.), Meena Choi (Northeastern University), Olga Vitek (Northeastern University), and teaching assistants from Northeastern University.

Due to the online delivery of the workshop, the content will be spread across 4 days (two weekends) with sessions lasting ~3 hours each day, with two topics presented each day.  Each topic will be split between a lecture component and a hands-on exercise component with assistance from TA’s.

Saturday, November 7 (12:00 - 3:15 pm Eastern)

  • Module #1: R Fundamentals
  • Module #2: Basic Data Manipulation

Sunday, November 8 (12:00 - 3:15 pm Eastern)

  • Module #3: Basic Data Visualization with ggplot2
  • Module #4: Data Preparation for Visualization and Extended ggplot2 Syntax

Saturday, November 14 (12:00 - 3:15 pm Eastern)

  • Module #5: Reproducible Data Analysis with RMarkdown
  • Module #6: Application of Topics with a Case Study

Sunday, November 15 (12:00 - 3:15 pm Eastern)

  • Module #7: Applied MS Topics and R Packages #1
  • Module #8: Applied MS Topics and R Packages #2