Past Workshop Materials

Some links are to ZIP files containing workshop materials. Be sure to also check out our collection of articles on statistics and statistical software as well.

Fall 2021

  • Organizing for Transparent/Reproducible Research (Jenn Huck)
  • Version Control with GitHub (Erich Purpur)
  • Reproducible Analysis and Documentation with R and RStudio (Jenn Huck)
  • Sharing Your Data (Sherry Lake)
  • Getting Started with R (Clay Ford)
  • Getting Started with R (Jenn Huck)
  • Data Wrangling Strategies with R (Clay Ford)
  • Basic Statistics Refresher with R (Clay Ford)
  • Power and Sample Size Analysis in R (Clay Ford)
  • Introduction to Multicore Processing with R (Jacalyn Huband)
  • Introduction to Python (Erich Purpur)
  • Data Analysis and Visualization in Python with Matplotlib and Pandas (Erich Purpur)
  • Python and APIs (Erich Purpur)
  • Python Web Scraping (Erich Purpur)
  • Sentiment Analysis with Python (Jacalyn Huband)
  • Scientific Image Processing with Python (Karsten Siller)
  • Using Rivanna from the Command Line (Gladys Andino)
  • Introduction to Data Visualization Using Tableau (Nancy Kechner)
  • Exploring Data Visualization Using Tableau (Nancy Kechner)
  • Using Qualtrics to Create Useful Surveys (Nancy Kechner)
  • Introduction to Qualitative Analysis Using Dedoose (Christine Slaughter)
  • Introduction to Qualitative Analysis Using NVivo (Christine Slaughter)
  • Introduction to Zotero (Maggie Nunley)
  • Introduction to LaTeX and Overleaf (Ricky Patterson)
  • An Introduction to ORCID (Winston Barham)
  • Funding Discovery Tools (Ricky Patterson)
  • Parallel Processing with Matlab (Ed Hall)
  • Scientific Image Processing with Matlab (Ed Hall)
  • Scientific Computing with Julia on Rivanna (Ed Hall)

Spring 2021

Fall 2020

Spring 2020

Fall 2019

Spring 2019

Fall 2018

Spring 2018

Fall 2017

Spring 2017

Fall 2016

Spring 2016

Fall 2015

Spring 2015

Fall 2014

Spring 2014

Fall 2013

Summer 2013