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Bobst Library, 5th floor
Staffed Hours: Fall 2023
Mondays: 12pm - 5pm
Tuesdays: 12pm - 5pm
Wednesdays: 12pm - 5pm
Thursdays: 12pm - 5pm
Fridays: 12pm - 5pm
Data Services provides services for NYU patrons using a variety of quantitative analysis software packages.
Get started by selecting the software you are interested in above.
The best way to request an individual consultation is via our appointment form, which will ensure that the appropriate consultant can meet with you at the time you requested. However, our consultants are also available on a walk-in basis (see schedule).
You may also send us your questions via email at email@example.com. Most e-mails will be answered within one business day (messages received on Friday will not be answered until Monday).
Our role is to facilitate your quantitative analysis within the realm of our supported software packages (i.e., SPSS, Stata, SAS, R, and MATLAB). We can assist you with issues that you may encounter with respect to data preparation (importing, merging, and cleaning data), analysis (implementing statistical tests), and results (understanding the formatting of the output). We can also help you select the best package for your task, interpret error messages, and locate documentation and further resources.
In addition to providing regularly scheduled software-specific tutorials, we can also help instructors by providing classroom presentations to introduce statistical software.
Our role is to assist you with your analysis, rather than to conduct analyses for you. It is the researcher's responsibility to ensure that the research design, analysis, and programming are justified and appropriate for the discipline at hand.
Whom we can help
Types of assistance not covered by our service
Statistical tutoring and general inquiries about methodology and statistical topics
Step-by-step assistance with homework assignments
Assistance with projects of commercial nature or those involving classified information, non-disclosure agreements, related to or likely to be involved in litigation, etc.
Software installation and licensing