Stats and Coding Support

Data Science Workshops & Graduate Coding Mentors

Data Science Workshops - Fall 2025:

For questions, please contact Dr. Alice Carter

Date (1 PM - NR 204) Workshop
September 18, 2025 Intro to Programming
September 25, 2025 Intro to R
October 2, 2025 Github & Reproducibility
October 9, 2025 tidyverse
October 16, 2025 base-R plotting
October 23, 2025 Visualizations with ggplot
October 30, 2025 Advanced Plotting with ggplot
November 6, 2025 Advanced R-loops and apply() functions
November 13, 2025 Wrangling Spatial Data
November 20, 2025 Plotting Maps
December 4, 2025 Advanced R - Writing Custom Functions

 

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