Dana Farber Data Science | Training Sessions

Data Science Training Sessions cover the basics of data science and explore challenges in this growing field. These are hands-on trainings primarily conducted by department faculty and staff.

Training sessions are held either remotely using Zoom or in the Center for Life Sciences (CLSB) Building. Refer to the session details for information.
A limited number of training sessions are posted on our YouTube channel.
Notes from the training sessions are available to department members only. If you are
outside the department and would like notes from a specific training, please contact Anne O’Neill.
If you are attending in person:
- Anyone without a DFCI, BWH, BCH, MGB, or Harvard ID must clear security on CLSB 2nd floor.
- Non-DFCI personnel will not have access to CLSB 11th floor. Please follow instructions posted on the doors for entry.
For questions regarding scheduling or attendance of the training sessions, contact Erica Feick.

View Zoom Information

Zoom Link: https://dfci.zoom.us/j/91223162775?pwd=c2tPK1RudnVxTStFbEQ0VHdtaTJGUT09
Passcode: dstraining

Find your local number: https://dfci.zoom.us/u/afihT5nqC

Training Sessions 2023

January 11	10-12pm	Rafael Irizarry, Introduction to ggplot	In-person only, CLSB 11081
January 18	10-12pm	Rafael Irizarry, Introduction to dplyr	Hybrid, CLSB 11065
March 1	10-12pm	James Lindsay, Introduction to Python Click to Join Add to calendar	Hybrid, CLSB 11081
March 15	10-12pm	Rafael Irizarry, Jenna Landry, Document preparation with R markdown, Quarto and knitr Click to Join Add to calendar	Hybrid, CLSB 11081
March 22	10-12pm	Sandra Lee, Introduction to Phase II Clinical Trial Design Click to Join Add to Google calendar	Virtual only
April 5	10-12pm	R, Sharing Suggestions and Pointers This will be a group-led interactive session where people share tips and suggestions about packages in R that they use. Anyone is welcome to share and/or listen and learn (including sharing something from a platform other than R if time allows.) Click to Join Add to Google Calendar	Virtual
April 26	10-12pm	Lorenzo Trippa, Bayesian Methods in Clinical Trial Design and Analysis Click to Join Add to Google Calendar	Hybrid, CLSB 11081
May 10	10-12pm	Susanna Jacobus, Yinglu Zhou, Zihe Song, Introduction to ct.gov Click to Join Add to Google Calendar	Hybrid, CLSB 11081
May 17, 24, 31	12-2pm	Haesook Kim, Survival Analysis and Competing Risks Data Analysis Lunch included with this session.	In-person, CLSB 11081
June 21	10-12pm	Hajime Uno, Mixed Models	In-person, CLSB 11081

Training Materials

Materials are available in the DS Training Sessions Shared Google Drive (only accessible by Data Science employees)
A limited number of training sessions are posted on our YouTube channel.
Email Anne O’Neill if you would like to request materials from a training session.