Core Principles of Data Science / Fall 2024
Course Description
Modern technology has led to the generation of unprecedented amounts of data, prompting the need to train researchers to leverage data for decision-making in public health and medicine. This course assumes no prior R or programming knowledge and serves as a gentle, practical introduction to wrangling, visualizing, and modeling data using the R statistical programming language. We also emphasize the importance of reproducible research and effective data science communication.
Lectures
- Time: 9:45 - 11:15 am EST on Tuesdays & Thurdays
- Location: FXB G12
- We will be using R for all programming homework and projects.
Office Hours
Office hours will mostly be held in-person (see below). Links will be posted on Canvas if Zoom is also available.
| Day | Time | Staff | Location |
|---|---|---|---|
| Monday | 4:00 - 5:00 pm | Xin | Buliding 2, 4th floor, Room 428 |
| Tuesday | 2:00 - 3:00 pm | Heather | Building 1, 4th floor, 421A (In-person and Zoom) |
| Wednesday | 3:00 - 4:00 pm | Carmen | Kresge 204 |
| Thursday | 4:00 - 5:00 pm | Nabi | Buliding 2, 4th floor, Room 428 |
Labs
Note that there will not be labs every week. Announcements will be posted on the course website and Canvas.
- Time: Fridays 11:30 am - 1:00 pm EST
- Location: FXB G03
Note that all lectures and lab sessions will be recorded and available on the course Canvas site.
Instructors
Heather Mattie
hemattie [at] hsph.harvard.edu
Teaching Assistants
Carmen Rodriguez Cabrera
crodriguezcabrera [at] g.harvard.edu
Khondoker Nabi aka "Nabi"
knabi [at] g.harvard.edu
Xin Xiong
xinxiong [at] hsph.harvard.edu