Data Services sends out regular (approximately one message every 6 weeks) announcements about service changes, special events, tutorials and job opportunities. via the "statistics" listserv. To subscribe to the "statistics" list, select it from the listserv section in NYUHome or send a blank, plain text, email to firstname.lastname@example.org.
The Data Services lab is not currently staffed beyond 8:00pm (Mondays and Tuesdays), 6:00pm (Wednesdays, Thursdays and Fridays) or during the weekends; however, the Data Services lab workstations are available for use whenever the Library's stacks are open.
Data Services supports software packages upon demand, so please email email@example.com with details about any software package(s) you believe Data Services should be supporting. Also note that we are glad to install any research-related open source, or freely available, software packages onto the Data Services lab workstation(s).
The current tutorial schedule can be found under the Data Services Classes tab. If you cannot attend any of the remaining tutorials then the next fleet of tutorials will likely be scheduled at the start of the following semester. However, if there is enough demand for an additional tutorial then we will gladly provide one. To keep up-to-date on new tutorials please subscribe to the statistics listserv.
Yes, Data Services is able to provide specialized tutorials for classes upon request. To schedule a tutorial for your class please fill out the Data Services appointment form with details about the tutorial you are seeking.
Data Services offers introductory tutorials in most of our supported software packages. While participants should not expect to fully understand how to use a software package by attending one these tutorials, they will become more comfortable with the interface and some common applications of the software. Data Services also provides links to a wide variety of instructional resources on the training and documentation page. However, it should be noted that some supported software packages require more than a technical understanding of the software; if you are struggling with the conceptual component of statistical analysis then we recommend enrolling in a NYU statistics course and/or consulting appropriate texts.
No, Data Services does not provide tutoring services. If you are having difficulties with the methodological component or conceptual aspect of quantitative research then we suggest talking to your advisor, professor, and/or teaching assistant. Additionally, the Data Services training and documentation page may offer some useful resources and some Data Services consultants may be willing to negotiate private tutoring sessions outside of Data Services.
No, for a number of reasons the Data Services staff will not, or in most cases cannot, tell patrons which statistical tests would be best for their research, however they are glad to talk to anyone about their research and will do their best to recommend a few possibilities to explore. In most cases Data Services consultants recommend that students meet with their academic adviser(s), and/or other faculty members, and consult any relevant literature within their field.
Data Services typically posts job opportunities on the statistics listserv, as well as on a few departmental lists, however students are always welcome to send a resume and cover letter to firstname.lastname@example.org; resumes received by Data Services will be held on file and referred to when positions open and/or when Data Services is contacted by researchers who are looking to hire consultants.
Depending on the assistance you are looking for, Data Services can forward the opportunity to our Data Services student consultants and, in some cases, advertise the position on our News page. If you are interested in hiring a research assistance please email email@example.com with a description of your research and the role(s) you are looking to fill.