The Statistical Opportunity for Students (SOS) program is designed to help UBC graduate students formulate and understand the statistical issues involved in their research projects and is open year-round to all UBC graduate students. If you are a graduate student at UBC, you are eligible for a meeting with an ASDa consultant to discuss your project and address your statistical questions, following which you will receive a written summary with recommendations. This service is provided at no charge to you.

See our SOS program page for details on how to apply.

ASDa provides a 6-part series of webinars that focus on the foundations of Statistics and is geared towards a level that assumes no statistical background. Each of the sessions is offered once in the school year by the Graduate Pathways to Success program.

Subjects covered are exploratory data analysis, study design and data collection essentials, two group comparisons and ANOVA, correlation and linear regression, logistic and poisson regression and mixed effects models.

Interested? See the GPS Workshps and Events page for dates and to register.

ASDa provides initial training for the student fellows accepted in the DSSG summer program along with systems, applications and IT support for each of the projects the teams work on.

The program is wrapped up for the 2020 season and the three teams produced some fabulous results, even under challenging pandemic circumstances. Check out their projects and bios!

The DSSG is anticipated to run in the summer of 2021. See https://dsi.ubc.ca/apply-dssg-program to apply.

Although learning a statistical software is a useful skill to acquire it needs to be used along with an understanding of the fundamentals of statistics. You can always get an answer from running an analysis in some software but that doesn’t mean what you have done is suitable or correct. Therefore it’s strongly recommended that you consult a statistician to make sure the approach you are using is appropriate for answering your intended question of interest, for the data you have and for how the data was collected.

Email us if you would like advice concerning your data analysis.

Here are ways to start learning R:

Free consulting is offered by statistics students taking practicum consulting courses.

The next offering is for free analysis through STAT 550 that starts Term 2 2021 so get your dataset ready.

To apply email us a one-page description of your project similar in format to this example and your dataset preferably before January 4, 2021.

See https://www.stat.ubc.ca/free-statistical-consultation-november-2020-call for more details.