Applied Statistics and Data Science Group
The Applied Statistics and Data Science Group (ASDa) is the research support and general statistical consulting group of the Department of Statistics at the University of British Columbia.
By applying best practices and capitalizing on their working relationships with leading data science researchers, the professional statistical consultants and scientific programmers can help you with all of your data analytics needs, from study design and grant proposal support, analysis, and hands-on training.
|Statistics VI: Mixed Effects Models (via Webinar)||
This webinar is critical for understanding when linear regression models aren’t applicable and how to model dependent data. Topics that will be covered are:
|18 February 2021 - 1:00pm||Academic Support and Success, Research Skills|
|Statistics V: Logistics and Poisson Regression (via Webinar)||
Learn about generalized linear models (GLM) for categorical and count outcomes. Necessary for understanding and using these models, the following will be covered:
|21 January 2021 - 1:00pm||Academic Support and Success, Research Skills|
|Statistics IV: Correlation and Linear Regression (via Webinar)||
Understanding relationships is a key part of the scientific inquiry process. You will learn how to describe relationships between two numerical quantities through correlation measures and simple linear regression models. This will also be extended to multiple linear regression for including additional predictor variables. Specific topics include:
|3 December 2020 - 1:00pm||Academic Support and Success, Research Skills|
|Statistics III: Two group comparisons and ANOVA (via Webinar)||
In this webinar, you will learn how to gain insight from a random and unbiased data sample of a population:
|5 November 2020 - 1:00pm||Academic Support and Success, Research Skills|
|Statistics II: Study Design and Data Collection Essentials (via Webinar)||
This webinar focuses on the first two crucial steps in a statistical investigation: 1) identify a question and 2) collect the right data to answer this question. You will learn about:
|22 October 2020 - 1:00pm||Academic Support and Success, Research Skills|
|Statistics I: Exploratory Data Analysis (via Webinar)||
Exploratory Data Analysis (EDA) is essential for understanding your data and a necessary step prior to any testing or modeling. You will learn insightful graphical and numerical techniques for investigating important aspects of your data such as relationships between variables and unusual observations. More specifically you will learn about:
|24 September 2020 - 1:00pm||Academic Support and Success, Research Skills|
|Free Statistics Consulting||
The Statistical Opportunity for Students (SOS) program provides one hour of free statistical advice, based on a submitted project description, to any UBC graduate student. Visit the SOS program page for full details. The SOS program is made possible through funding support from the Office of the Provost and Vice President, Research and Innovation.
|Academic Support and Success, Research Skills|