Instructor + course overview
Dr. Elijah Meyer - Hello! I’m very excited to work with you all this semester. I’ve earned a Master’s degree in statistics and a Ph.D. in statistics with a focus in education from Montana State University, and completed a teaching post-doc position at Duke University. My early research is in sports statistics, with an emphasis on spatial data visualizations to enhance sports strategy. My current work is in statistics/data science education. My focus is on improving the educational experience for both instructors and students. Current projects include creating a dynamic interactive shiny application in R to better students’ understanding of statistics and data science; creating an online data science course on Coursera; creating an national data science assessment around reasoning.
Prior to my time at NC State, I’ve taught multiple sections of Introductory Data Science at Duke University, and Introductory and Intermediate Statistics at Montana State. At Montana State, I developed their Intermediate Statistics online course, and helped integrate R into the Introductory Statistics curricula.
I prioritize community, communication, and respect in my classroom. I want to provide a space where we can freely talk about the material, embrace mistakes, and learn together throughout the semester.
When I’m not in the books, I enjoy playing disc golf, tennis, basketball, and anything else that gets me outside and active. I’m looking forward to meeting you all and having a great semester!
Instructor Office Hours
| Time | Location |
|---|---|
| Wednesday 1:30 - 2:30pm | SAS Hall 5228 / Zoom |
| Thursday 11:00 - 12:00pm | SAS Hall 5228 / Zoom |
** or by appointment
TA
Nick Mann - Hi I’m Nick and I’m a first year PhD student. I graduated from the University of North Carolina at Chapel Hill with a Bachelor’s degree in Applied Math and Statistics. In my free time, I like to play music, work out, and watch TV. I think statistical methods and programming are awesome, so I’m excited to work with you guys!
TA Office Hours
| Time | Location |
|---|---|
| Monday: 10am - 11am | SAS-1101 |
| Friday: 9am - 10am | SAS-1101 |
Videos
You will see that the prepare videos will largely feature Dr. Mine Çetinkaya-Rundel. Mine is a Professor of the Practice and the Director of Undergraduate Studies at the Department of Statistical Science at Duke University. Mine is the creator and maintainer of Data Science in a Box (the curricula for ST511), and works with Posit as a Developer Educator with the Tidyverse and Quarto teams.
Dr. Çetinkaya-Rundel and I continue to work on many educational projects together, including developing a Data Science with R Coursera course, and developing a national data science assessment for introductory students.
Course
The course will focus on the R statistical computing language. No statistical or computing background is necessary.
Gain experience in data wrangling, exploratory data analysis, data visualization, tests of significance, modeling techniques, and effective communication of results, all in a reproducible format.
| Class meeting | Location | Time |
|---|---|---|
| Lecture | 01102 SAS Hall | M & W 3:00 - 4:15 pm |