Our statistics and data science collaborators are trained to help design experiments, analyze and plot data, run statistical software, interpret results, and communicate statistical concepts to non-statisticians. Our assistance is free for University faculty, staff, and students on academic research projects. The collaborators are faculty and students in the Department of Applied Mathematics and other departments. The earlier in your research you request statistical advice, the better; so learn more about our collaboration service or Request a Collaboration Meeting

LISA Statistics Walk-in Hours

LISA is partnering with the Center for Research Data and Digital Scholarship (CRDDS) to sponsor free walk-in hours to help researchers with statistics and data science every Tuesday and Thursday from 12-2PM when classes are in session in Norlin Library E206. Update (3/11/2020): Walk-ins are now Zoom-ins. Update (4/3/2020): Walk-in/Zoom-in has moved to appointment only. (We are doing this to prevent disruptive Zoom bombing.) You may make an appointment by emailing with your question and preferred time to meet on the half hour (12:00PM, 12:30PM, 1:00PM, and 1:30PM) on Tuesdays and Thursdays (until April 30). 

The Zoom link for Tuesdays' Interdisciplinary Data Consult Hours from noon-2PM will be sent to those making appointments.

The Zoom link for Thursdays' LISA Statistics Walk-in Hours from noon-2PM will be sent to those making appointments.

Zoom in to discuss your domain problem and get solutions to the statistical issues you are facing. Visits are open to all researchers – from undergrad to faculty and beyond. Note: LISA assists with research, not class projects or homework.

Short Courses

We are co-teaching the "Coding in R Workshop Series" with CRDDS to help researchers (especially graduate students) use statistics and R in their research. We are also teaching a "Statistics in Python" short course series. The focus of these two-hour courses is on teaching practical statistical techniques for analyzing or collecting data. Each course may have assignments to complete BEFORE attending. Registration is sometimes required. Update (3-19-2020): Our courses will run as scheduled via Zoom. View course list and register

**Faculty and undergraduates are welcome to register and attend, but the courses are designed for graduate students.