This workshop is an introduction to R, or more specifically: to an interactive toolbox we’ve developed to teach R to students interested in data analysis. This event is free and everyone is welcome to join.
The event will be moderated in part by Rohan Alexander and Samantha-Jo Caetano, who co-developed the toolbox, along with a team of students.
This event is part of a weekly series called the Toronto Data Workshop (TDW). TDW brings together academia and industry to share best practices for getting applied statistics projects off the ground. Learn more about the series.
Statistics and statistical programming can be scary, especially if you’re totally new to it. We want to make sure that fear doesn’t get in the way of students across disciplines adding a powerful tool to their “data analysis tool belt”.
To lower barriers and increase diversity among R learners, we have developed an interactive toolbox that allows learners to go at their own pace and learn from their peers. (And hopefully have some fun, too!)
R is a powerful, versatile, and free statistical programming language that makes it easy to analyze data by letting you create complex statistical models with just a few lines of code. It’s widely used among statisticians and data scientists, and has become an integral part of our student curriculum.
R is a growing language
R has shown remarkable growth in the last five years, and is currently playing a huge role in the search for a COVID-19 vaccine.
Why R is not just for statisticians
With the rise of “big data”, analyzing data and extracting useful information from it, has become an increasingly important skill across many disciplines, such as political, social and health sciences. R is a very useful language to learn, whether you’re planning for a career in academia or industry.