Stats and Coding Support

Data Science Workshops & Graduate Coding Mentors

Data Science Workshops - Spring 2026: SIGN UP HERE

For questions, please contact Dr. Alice Carter

Date (1 PM - NR 204) Workshop
22-Jan-26 R Markdown script organization
29-Jan-26 Working with words using regex & stringr
5-Feb-26 Data Management with the tidyverse
12-Feb-26 Visualizations with ggplot
19-Feb-26 Writing model formulas in R
26-Feb-26 Generalized Linear Mixed Models in R
5-Mar-26 Bayesian models with Rstan and BRMS
19-Mar-26 Machine Learning in R
26-Mar-26 Working with databases using SQL
2-Apr-26 Intro to Python

 

Graduate Coding Mentors

Use this form to request a meeting with one of our graduate coding mentors. Weekly office hours are planned to resume in Fall of 2025.
While any of our mentors can probably help you with your coding problem, a few of their specific skillsets are highlighted below.
If you are interested in being a graduate coding mentor, please contact Alice Carter. You will gain great experience, and you will be paid for your time!

Image of Michael Procko
Michael Procko

  • Data wrangling and visualization in tidyverse and base R
  • Working with spatial data
  • Handling large datasets
  • Version control with GitHub
  • Plots and animations with ggplot
  • Coding in Python

 

Image of Brian Kissmer
Brian Kissmer

  • Data wrangling and visualization in tidyverse and base R
  • Handling large datasets
  • High-Performance Computing and slurm
  • Python

 

Image of Annie Schiffer
Annie Schiffer

  • Data wrangling and visualization in tidyverse and base R
  • Simulating data
  • Time series and date/time data
  • Frequentist (lme4, glmmTMB, etc) and Bayesian stats (rstan, brms)
  • R Markdown and R file organization
  • Version control with GitHub
  • plots and animations with ggplot

 

Image of Soren Struckman
Soren Struckman

  • Data wrangling and visualization in tidyverse and base R
  • Simulating data
  • Frequentist and Bayesian modelling (STAN/JAGS)
  • Spatial data and maps in R
  • Spatial point pattern analysis in R
  • RMarkdown, HTML, CSS
  • R package development
  • Terminal, directory structure organization, automation
  • Version control with GitHub
  • SQL and mySQL data management
  • Basic python, Matlab, and Netlogo
  • Specific data: Time series, repeated measures, tree rings, forest inventory, community data, PRISM, ClimateNA

 

Image of Alex Howe
Alex Howe

  • Google Earth Engine




Statistical Consulting

Alice Carter
Dr. Alice Carter


Statistical Consultant &
Professional Practice Assistance Professor

Schedule a Meeting

Email

Office: BNR 129A