The NISS Graduate Student Network is excited to be hosting a second short course on quarto! This short course will teach you how to create your own website using quarto. The instructor for this short course will be Dr. Mine Çetinkaya-Rundel from the Department of Statistical Science at Duke University.
Join us for an exciting online event where you'll learn how to create your own website! In this short course, we'll guide you through the process of building a website from scratch. Whether you're a beginner or have some experience, this course is perfect for anyone looking to enhance their web development skills. Don't miss out on this opportunity to unleash your creativity and bring your ideas to life online. Sign up now and get ready to become a web design pro!
50 minutes of instruction including course work, 10 minutes of Q&A. Participants will receive a certificate of participation after the course.
NISS hosting this as a zoom webinar instead of a zoom meeting; course participants will use the zoom Q&A feature for questions.
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.
(All times in Eastern Time US)
3:30 pm - 4:15 pm: Course Instruction on quarto by Dr. Mine Çetinkaya-Rundel
4:15 pm - 4:20 pm: Coursework provided by instructor
4:20 pm: Live Q&A with attendees and instructor; NISS hosting this as a zoom webinar instead of a zoom meeting; course participants will use the zoom Q&A feature for questions.
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.