Workshops

Hands-on R workshops are offered throughout the year. R is an open source statistical package for data analytics and graphics that is widely used in both academia and industry. It is freely available, well-supported, powerful and flexible, making it one of the most used of all programming languages.

Current workshops include Introduction to R and Intermediate R. These workshops are usually held during the fall and winter breaks, and in late spring.  See the workshop descriptions below and click on the registration link to register.  

 

Upcoming workshops:

  • Introduction to R
    • Tuesday February 18, 2020, 1:00 p.m. to 4:00 p.m. - Registration fee is $50
    • Wednesday February 19, 2020, 1:00 p.m. to 4:00 p.m. - Registration fee is $50
  • Intermediate R
    • Thursday February 20, 2020, 1:00 p.m. to 5:00 p.m. - Registration fee is $50
  • Best Practices in SPSS - Not Offered
  • Basic Statistics Refresher in R - Not Offered
  • Data Manipulation in R - Not Offered

 

 Registration Link

 

  • We accept Visa Credit, Mastercard Credit, Visa Debit, Mastercard Debit.
  • Payment is required for a guaranteed spot in the workshop.
  • If bringing your own computer, please download and install R and R Studio before the workshop (see workshop descriptions below).

All workshops will be held in the Library Instruction Room (ground floor) in the Map and Data Centre of Weldon Library.

We can also provide customized workshops for your group/department. Please contact us for more information.

Suggestions? Please contact us to suggest other services you require for your analytical needs.


Introduction to R Workshop

Introduction to R is a 3-hour workshop introducing basic programming concepts in R and learning to execute data manipulations, calculations, statistical analyses, and produce useful graphs and numeric summaries.  Participants will also learn to write simple functions that can be used to automate analyses and examine the use of R packages to expand R’s basic capabilities.  

No prior programming knowledge is necessary.  The workshop is hands-on and participants will follow along with all of the coding.  Participants are strongly encouraged to bring their own computers, but please ensure that both R and RStudio are installed. R is the programming language itself and must be installed first (https://cran.r-project.org/). RStudio Desktop provides a more friendly programming environment and

is used in conjunction with R (https://www.rstudio.com/products/rstudio/download/).

The workshop will be held in the Weldon Instruction Room (ground floor, Map & Data Centre, Weldon Library).

 

Intermediate R Workshop

Intermediate R is a 4-hour workshop where we will work through example analyses from start to finish. This includes preparing and cleaning data, plotting, modelling (t-tests, linear models, logistic regression, etc.), and presentation. As we go, we will discuss the way R handles different symbols, syntax, functions, and arguments. Understanding these concepts will allow the user to expand their usage of R more quickly and extend their knowledge to new situations. We will also stress the importance of good coding habits, effective use of graphical methods, and using help files. Participants will follow along with all of the coding and leave the workshop with a file that can be easily modified to fit many different situations. 

This workshop is suitable for people with a basic understanding of R (basic use of data frames, vectors, lists, etc). Attending the Introduction to R Workshop is sufficient to prepare you for this one. Participants are strongly encouraged to bring their own computers, but please ensure that both R and RStudio are installed.  R is the programming language itself and must be installed first (https://cran.r-project.org/). RStudio Desktop provides a more friendly programming environment and is used in conjunction with R (https://www.rstudio.com/products/rstudio/download/).

The workshop will be held in the Weldon Instruction Room (ground floor, Map & Data Centre, Weldon Library).

 

Best Practices in SPSS

This workshop is a 3-hour introduction to best practices in SPSS,  a GUI-based statistical package for social sciences that is used in both academia and industry. It is one of the most widely taught statistical software packages, especially in the social sciences, and provides a user-friendly interface for quantitative statistical analyses and interpretation.

This workshop will introduce participants to data manipulation, calculations, statistical analyses, and how to produce useful graphs and numeric summaries. Participants will also learn to write basic syntax commands that can be used to automate analyses and facilitate reproducibility. 

No prior programming knowledge is necessary. The workshop is hands on and participants will follow along with all steps, procedures, and analyses. Participants will have access to university computers where the most recent version of SPSS will be installed. You are welcome to bring your own computer if you have the software, but it is not necessary.

The workshop will be held in the Weldon Instruction Room (ground floor, Map & Data Centre, Weldon Library).

  

Basic Statistics Refresher in R

Do you need a refresher on statistics to get started on an analysis?  This new 2-hour workshop will use R to review basic statistical methods such as the ANOVA decomposition and linear regression.  Furthermore, it will address how to interpret the results of these techniques in practice.  This workshop differs from the Intermediate R workshop with its focus on understanding the theory and interpretation of statistical procedures rather than coding, plotting, and using packages in R. 

A basic understanding of R is required for this workshop (basic use of data frames, vectors, lists, etc). Attending the Introduction to R Workshop is sufficient to prepare you for this one.  Participants are strongly encouraged to bring their own computers, but please ensure that both R and RStudio are installed.  R is the programming language itself and must be installed first (https://cran.r-project.org/). RStudio Desktop provides a more friendly programming environment and

is used in conjunction with R (https://www.rstudio.com/products/rstudio/download/).

The workshop will be held in the Weldon Instruction Room (ground floor, Map & Data Centre, Weldon Library).

 

Data manipulation in R 

Cleaning, manipulating, and preparing data is a necessary component for any analysis.  This new workshop will introduce the use of tidyverse, a series R packages (including ddplyr and ggplot2) that are some of the most popular packages.  tidyverse packages work together to filter, sort, transform, and visualize different types of data, and are valuable for exploratory data analysis.  You will also learn how to conduct feature engineering for machine learning tasks.

This workshop is intended for those with a good understanding of R and are ready to extend their knowledge with more advanced tools.  Attending the Intermediate R Workshop is sufficient to prepare you for this one.  Participants are strongly encouraged to bring their own computers, but please ensure that both R and RStudio are installed, as well as tidyverse packages.  

The workshop will be held in the Weldon Instruction Room (ground floor, Map & Data Centre, Weldon Library).