Office Hours & Consultations

DataLab offers no-fee research consultations and drop-in office hours during which University researchers can obtain help and advice on theoretical and technical matters relating to data science and working with data. We meet with faculty, students, postdoctoral scholars, and staff from all domains across the University.

The DataLab is prepared to help at any stage of your data pipeline, from data collection and cleaning to final visualizations. However, we are unable to help with technical problems such as software or hardware issues. For this we recommend looking through the UC Davis ServiceHub or contacting your affiliated IT services.

We welcome anyone to come discuss data-driven research ideas, problems, or implementations with our team. However, we are unable to provide support for assigned coursework such as homework assignments or class projects. If you need help with these, we recommend you reach out to your instructor or TA for assistance.

DATALAB WEEKLY (VIRTUAL) OFFICE HOURS

MONDAYS 1:30-3PM*

Register to receive the Zoom meeting link

*Please note exceptions for University holidays and academic breaks.

Drop-ins are welcome.  If you require more extensive help, you may be requested to schedule a consultation.

How do virtual office hours work?

  1. Review the Zoom tips, below, to prepare for the call.
  2. Register for the Zoom call to receive an email with the Zoom login information. You need to register for each individual session you plan to attend. The registration form will ask you to briefly (1-2 sentences) describe what question you want help with during office hours. If you have multiple questions, prioritize them so we can help address your most pressing questions problems first.
  3. Using the link emailed to you, join the Office Hours call on Mondays between 1:30-3pm to enter the main room.
  4. Introduce yourself by typing into the chat window your full name and pasting your research problem description.
  5. A DataLab member in the main room will then assign you to the most appropriate breakout room where you can talk with one of our data scientists about your problem.
  6. You can switch back to the main room or leave the call at any time. 

Similar to in person office hours, we are often helping multiple people at once. We appreciate your patience and help following the steps above to create a smoother experience for everyone. If our queue is long and/or you have a particularly challenging or complex problem, we may ask you to come back the following week.

Please note that our Fridays 2-4pm General & Health Sciences (Blaisdell Medical Library, Sacramento) office hours are not available at this time and we encourage you to check out our Health Data Sciences & Systems research and learning cluster and/or attend Monday’s virtual hours. If you are a researcher working on COVID-19 and need immediate assistance with a data science challenge contact us at datalab@ucdavis.edu and we will try to get back to you as soon as possible.

ZOOM TIPS FOR VIRTUAL OFFICE HOURS

New to Zoom? Here are some resources to check out before you join a call.

REQUEST A CONSULTATION

Contact us at datalab@ucdavis.edu to request a longer research or training consultation. Please note that we will typically refer you to attend office hours first to see if we can address your question there before scheduling a consult.

ADDITIONAL RESOURCES

If you are looking to learn more about data science, the DataLab keeps a curated list of upcoming courses at UC Davis you may find helpful. We also host several Research and Learning Clusters, including ones for R and Python, that may align with your interests.

For more acute assistance, we recommend the following resources.

  • Stat Lab: The Stat Lab offers help and hosts office hours for statistical modeling and machine learning.
  • Biostatistics Office Hours: Run through the Clinical and Translational Science Center at UCDH, Biostats holds office hours catering specifically to medical researchers.
  • Stack Overflow: Stack Overflow is a hub for programing help. Search for your problem or error and you are likely to find a solution!