Research Skills

Resources, tools, and software are available to support the diverse and multidisciplinary research of graduate students.

 Events

Titlesort descending Description Date Provider
Disruption, Action and Advocacy: Building Core Skills and Confidence

Workshop Objectives: 

9 December 2019 - 1:00pm Interdisciplinary Studies Graduate Program
Innovation and Impact: Preparing to work differently independently

Workshop Objectives:

23 January 2020 - 4:00pm Interdisciplinary Studies Graduate Program
Intermediate R programming

1:00pm – 4:00pm each day Nov 18 & 20 (M/W). In this workshop, you use R as a programming environment, allowing you to write more complex, yet clearer data analysis code. We will teach you three fundamental concepts of R programming: functions, classes, and packages.

18 November 2019 - 1:00pm ECOSCOPE, Applied Statistics and Data Science Group
Introduction to Python

Wed, November 27, 2019 10:00 AM - 12:00 PM See description. FREE. Register and more information at this link: https://libcal.library.ubc.ca/event/3511036

27 November 2019 - 10:00am Library Research Commons
Introduction to R

In this workshop, you are introduced to R and RStudio at the beginner level. This condensed 2-hour workshop is meant to get you started in R and acts as a pre-requisite for ALL of other ECOSCOPE R Series workshops

6 February 2020 - 2:00pm ECOSCOPE, Applied Statistics and Data Science Group
Introduction to R

In this workshop, you are introduced to R and RStudio at the beginner level. This condensed 2-hour workshop is meant to get you started in R and acts as a pre-requisite for ALL of other ECOSCOPE R Series workshops

16 January 2020 - 2:00pm ECOSCOPE
Introduction to R

In this workshop, you are introduced to R and RStudio at the beginner level. This condensed 2-hour workshop is meant to get you started in R and acts as a pre-requisite for ALL of other ECOSCOPE R Series workshops

13 November 2019 - 2:00pm ECOSCOPE, Applied Statistics and Data Science Group
Introduction to SPSS for statistical analysis

Wed, November 13, 2019 10:00 AM - 12:00 PM See description. FREE. Register and more information at this link: https://libcal.library.ubc.ca/event/3506136

13 November 2019 - 10:00am Library Research Commons
Literature Reviews: "Analyzing (with NVivo)"

Tue, November 26, 2019 10:00 AM - 12:00 PM See description. FREE. Register and more information at this link: https://libcal.library.ubc.ca/event/3506138

26 November 2019 - 10:00am Library Research Commons
Literature Reviews: "Searching and Keeping Track"

Fri, November 22, 2019 10:00 AM - 12:00 PM See description. FREE. Register and more information at this link: https://libcal.library.ubc.ca/event/3518269

22 November 2019 - 10:00am Library Research Commons
NVivo Part 1: (PC or MAC) - Getting Started with NVivo ONLINE

Tue, November 12, 2019 10:00 AM - 12:00 PM See description. FREE. Register and more information at this link: https://libcal.library.ubc.ca/event/3511785

12 November 2019 - 10:00am Library Research Commons
R Study Group (Every Wednesday from 1PM to 2PM - Sept 18, 2019 to Nov 27, 2019)

Wed, November 20, 2019 1:00 PM - 2:00 PM See description. FREE. We are a group that meets weekly to bring together different areas of data science and scientific computing, with a focus on the programming language, R. Bring your problems and enthusiasm to the group!

20 November 2019 - 1:00pm Library Research Commons
R Study Group (Every Wednesday from 1PM to 2PM - Sept 18, 2019 to Nov 27, 2019)

Wed, November 13, 2019 1:00 PM - 2:00 PM See description. FREE. We are a group that meets weekly to bring together different areas of data science and scientific computing, with a focus on the programming language, R. Bring your problems and enthusiasm to the group!

13 November 2019 - 1:00pm Library Research Commons
R Study Group (Every Wednesday from 1PM to 2PM - Sept 18, 2019 to Nov 27, 2019)

Wed, November 27, 2019 1:00 PM - 2:00 PM See description. FREE. We are a group that meets weekly to bring together different areas of data science and scientific computing, with a focus on the programming language, R. Bring your problems and enthusiasm to the group!

27 November 2019 - 1:00pm Library Research Commons
Statistical Models in R

1:00pm – 4:00pm each day Feb 11 & 13 (T/Th). In this workshop series, we introduce various types of regression models and how they are implemented in R. We will cover linear regression, ANOVA, ANCOVA and mixed effects models for continuous response data, logistic regression binary response data, and Poisson and Negative Binomial regression for count response data.

11 February 2020 - 1:00pm ECOSCOPE, Applied Statistics and Data Science Group
Statistics III: Two Group Comparisons and ANOVA Models (via Webinar)

We will introduce some statistical concepts such as mean, variance, hypothesis testing, statistical significance and distribution of the sample mean. We will provide a detailed discussion of how to compare data from two groups or conditions using a t-test and discuss the assumptions involved. Non-parametric alternatives to t-tests will also be covered.

10 December 2019 - 10:00am Applied Statistics and Data Science Group, Graduate Pathways to Success
Statistics IV: Quantitative Covariates and Regression Analysis (via Webinar)

We will start with a simple correlation analysis for two quantitative variables, and then discuss modelling the relationship between two quantitative variables by simple linear regression. We will introduce the least squared estimation method that is used to estimate the linear regression coefficients.

22 January 2020 - 10:00am Applied Statistics and Data Science Group, Graduate Pathways to Success
Statistics V: Discrete Data - Counts and Proportions

We will show how to compare two groups when the response is binary or count data and cover what happens if we have more than two groups or more than one predictor whether numeric or categorical. We will introduce logistic, Poisson, negative binomial regression analysis and generalized linear models and show how to interpret the model coefficients in each case.

12 February 2020 - 10:00am Applied Statistics and Data Science Group, Graduate Pathways to Success
Statistics VI: Introduction to Mixed Effects Models (via Webinar)

Methods like Regression and ANOVA model the mean structure of the observed data while making specific assumptions about the variance. We will demonstrate with examples that ignoring the lack of independence due to repeated measurements on the same unit or clusters of related units may lead to wrong conclusions.

26 February 2020 - 10:00am Applied Statistics and Data Science Group, Graduate Pathways to Success
The R Tidyverse

1:00pm – 4:00pm each day Jan 21 & 23 (T/Th).  In this workshop, we delve into data manipulation using dplyr / tidyr and graphics with ggplot in R.

21 January 2020 - 1:00pm ECOSCOPE, Applied Statistics and Data Science Group

 Services

Titlesort descending Description Provider
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.

Applied Statistics and Data Science Group
One-to-One Assistance

Consultations are available for Thesis Formatting, Citation Management, NVivo, SPSS, R, and GIS. Appointments are available in 30-minute or 1-hour increments. To request an appointment, please complete form.

Library Research Commons
Subject Librarian Consultation

Subject Librarians serve as the primary liaison between the Library and the academic departments on campus. They provide skilled reference assistance, manage the library's collections and provide instructional support to faculty.

UBC Library

 Resources

Titlesort descending Description Provider
Communicating your Research (online course)

This short online course highlights the importance of communicating well and focuses on three common communication opportunities that researchers face on a regular basis:

  1.     Presentation skills;
  2.     Writing skills; and
  3.     Poster creation

Facilitated by Dr. Jenn Gardy, you will learn more about the latest tips and techniques to make sure your next conference talk, email or poster presentation is impactful and memorable.

Register

Mitacs Training
Managing Project Timelines (online course)

This online, on-demand course will help you to reach project deadlines with less stress. Gain techniques and tools to help you create realistic project timelines and manage your time and energy. At the end of the course, you will:

  • Understand how to define tasks, task duration, milestones, and deadlines
  • Know how to use planning techniques to implement and adapt project timelines
  • Learn processes and techniques to communicate your project status to your research team

Register

Mitacs Training
Online Responsible Conduct and Clinical Research Courses

Available online, on-demand are courses on Good Clinical Practice, Responsible Conduct of Research (RCR)- Life Science and Physical Science, Biomedical Research Ethics, Social and Behavioral Research, Transportation of Dangerous Goods TDG/IATA, Health Canada Division 5 - Drugs For Clinical Trials Involving Human Subjects, and CITI Canada Privacy.  These are available through a UBC subscription and are free to UBC students, staff, postdoctoral fellows, and faculty.

N2 Network of Networks
Statistics Webinar Series

This 6-part statistics webinar series is annually presented by the Applied Statistics and Data Science Group.  Slides and descriptions of each session are provided.

Applied Statistics and Data Science Group, Graduate Pathways to Success