The open source data-analysis tool known as R is quickly becoming a leading programming language across the globe. Join IRSA for a short, 1.5-day course aimed at beginners who want to learn about its basic functions.
Day one will explore the basic features of R and best practices for reproducible data science using R Markdown. We will also explore the power of R for constructing visualizations, wrangling data, and producing simple numerical summaries. The modules on day two will provide a gentle introduction to statistical modeling including linear regression and logistic regression.
$75 UMN Students
$150 UMN Faculty and Staff
$300 General Admission
View the participant checklist (mandatory preparation to be completed before you arrive)
Frequently Asked Questions
Q. Do I need to know anything about R before attending the course?
A. No. This course is designed for beginners.
Q. What preparation should I do to get the most out of this course?
A. The most important thing to do before the course is to review and follow directions on our participant checklist. Don't wait until the last minute! Make sure that R, RStudio, and all recommended packages are installed and ready to go.
Q. Do I need to pack a lunch?
A. Yes, we will provide a light breakfast and coffee, but you should be prepared to either bring a lunch or visit one of the food establishments around campus during the afternoon break.
Q. I will be traveling from out of town. Where can I stay while participating in this course?
A. We recommend staying at the Graduate Hotel. It is a short walk to the Buininks Hall.
Q. I wouldn't classify myself as a complete beginner when it comes to R, but I want to learn more. How do I know if this is the right course for me?
A. Take a look at the course content listed on our schedule. If you want more advanced material, consider attending the "noRth," which will take place August 15-16 and is is intended for intermediate-advanced R users.
For answers to any other questions, email [email protected].
Testimonials from past participants:
"A great group of experts in many specific areas were brought together and all kind of questions were answered. I loved it. They were technically proficient. They took times to address a wide variety of concerns, technology, statistics, mathematics, analytics, data modeling. Each speaker knew how to connect to the audience and the training itself gave me many ideas on how to apply it to my daily work."
"This would be a great workshop for graduate students as it could set them on the road to good work habits from the beginning."
"I loved that we were able to start practicing using R immediately. I always learn best by doing - trying stuff and seeing if/how it works."
"It was great to just have the hands on experience and know that you didn't need any R experience at all. I also really liked the datasets we worked with. ... I feel like I have a good starting foundation now to begin using R for a project!"