Overview:
The NISS Graduate Student Network is excited to be hosting a new short course on quarto! The instructor for this short course will be Dr. Mine Çetinkaya-Rundel from the Department of Statistical Science at Duke University.
Quarto is the next generation of R Markdown for publishing, including dynamic and static documents and multi-lingual programming language support. With Quarto you can create documents, books, presentations, blogs or other online resources. This workshop will introduce you to authoring Quarto documents using RStudio Visual Editor, which provides a user interface for editing all of Pandoc markdown. You will also get a brief look into different formats (such as slides), publishing Quarto documents to QuartoPub, and writing scientific manuscripts with Quarto.
Course Preparation Materials:
- Install latest R:
- 4.2.3 "Shortstop Beagle"
- https://cran.r-project.org/
- Install latest RStudio:
- 2023.03.0+386
- https://posit.co/download/rstudio-desktop/
- Install latest Quarto:
- 1.3.310 or above
- https://quarto.org/docs/get-started/
Course Structure:
1 hour of instruction, 15 minutes course work, 15 minutes of Q&A. Participants will receive a certificate of participation after the course.
NISS hosting this as a zoom meeting instead of a webinar, allowing students to freely raise their hands for questions during Q&A.
Course Fee:
Participants of this course will be asked to pay an amount of $15 USD.
Participants who are part of NISS Affiliate Institutions will receive a reimbursement after course completion via Eventbrite.
Register on Eventbrite Here
Agenda
(All times in Eastern Time US)
12 pm - 1 pm: Course Instruction on quarto by Dr. Mine Çetinkaya-Rundel
1 pm - 1:15 pm: Coursework provided by instructor
1:15 pm: Live Q&A with attendees and instructor; NISS hosting this as a zoom meeting instead of a webinar, allowing attendees to freely raise their hands for questions during Q&A.
About the Instructor
Dr. Mine Çetinkaya-Rundel is a Professor of the Practice and the Director of Undergraduate Studies at the Department of Statistical Science and an affiliated faculty in the Computational Media, Arts, and Cultures program at Duke University. Her work focuses on innovation in statistics and data science pedagogy, with an emphasis on computing, reproducible research, student-centered learning, and open-source education. She works on integrating computation into the undergraduate statistics curriculum, using reproducible research methodologies and analysis of real and complex datasets. In Spring 2023, she is teaching STA 313 - Advanced Data Visualization. Find out more about the course here! In addition to her academic position, she also works with Posit, where she focuses primarily on education for open-source R packages as well as building resources and tools for educators teaching statistics and data science with R and RStudio. Read more here or find her on Mastodon.
Event Type
- NISS Hosted