Harvard Statistics Consulting Service
The Department of Statistics offers free walk-ins only statistical consulting to members of the Harvard community. This service supports statistical questions arising in research across a wide range of disciplines.
Under the supervision of a faculty member, Statistics Ph.D. students provide guidance on issues related to data analysis and interpretation of results, including (but not limited to):
- Causal Inference
- Experimental Design
- Classification and Prediction (Machine Learning)
- Statistical Challenges Arising from Large ('Big Data') Datasets
- Time Series Analysis
- Model Fitting and Validation
- Data Visualization
Researchers are encouraged to seek consultation early in their projects, though consultations are welcome at any stage. Please come prepared with relevant data, prior analyses, and any other materials that will help facilitate discussion.
This service is intended to address statistical questions, such as formulating scientific questions as statistical hypotheses, selecting appropriate statistical methodologies, or identifying efficient computational approaches for implementing those methods. We do not provide assistance with purely programming-related issues (for example, debugging code errors or learning how to execute a chosen method in a specific software package such as Stata, SAS, or R).
Schedule and Location
For the Fall 2026 semester, consulting is available on a walk-in basis. No appointment is required. Please make sure to bring your HUID, as the building is not accessible without it
| Tuesdays | 3:00-5:00 pm |
|---|---|
Wednesdays | 3:00-5:00 pm |
Location: Maxwell Dworkin Room 214
Consulting sessions are not held during the summer, reading periods, final examination periods, or University holidays. Please refer to the Harvard FAS Academic Calendar for exact dates. The final consulting session of the Fall 2026 semester will be held on Wednesday, December 2, 2026.
For questions about the consulting service, please contact the course teaching fellow, Anvit Garg, at [anvitgarg@fas.harvard.edu](mailto:anvitgarg@fas.harvard.edu).