Workshops Archive & History

Lesson Materials

Click one of the categories below to review the lesson materials for the workshops we teach. Many of the lessons listed are taught as part of our regularly offered Software Carpentry (SWC) and Data Carpentry (DC) workshops. Others are taught as standalone workshops. Look for the code (SWC, DC, or no code for standalone workshops) listed next to each lesson to determine which workshop the lesson belongs to.

In addition, the Data Carpentry workshop has several variants which have been customized to suit the needs of specific research topics (ecology, genomics, geospatial, and social sciences). Find all variants of each lesson listed in square brackets next to the lesson names.

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Data Analysis & Visualization

Cloud Computing

  • Intro to Cloud Computing in AWS (DC) [Genomics]

Python 

R/RStudio

Unix

Data Cleaning & Management

Machine Learning & AI

We maintain a library of our machine learning & AI workshops on the ML+X Nexus platform

Version Control & Containerization

Miscellaneous

Past Workshops

Our previous workshops include Data Carpentry, Software Carpentry, and many others. Data Carpentry is designed to teach data organization and analysis using data that looks familiar to researchers. Software Carpentry is designed for people who are learning to code to develop software or learn best practices in software development. The “Other Workshops” tab features all other workshops, which cover a broad range of topics, including machine learning, docker, data visualization, and more.

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Data Carpentry

Software Carpentry

Other Workshops

December 16-18, 2024 – Trustworthy AI

September 25-November 21, 2024 – Fall Mini-Workshop Series

  • git/GitLab
  • Intro to Docker
  • Interactive Data Visualizations in Python and Streamlit
  • Intro to Machine Learning

May 29-31, 2024 – Intro to Deep Learning with Keras

April 15-17, 2024 – Text Analysis Workshop

September 13-December 20, 2023 – Fall Mini-Workshop Series

  • Unix Shell
  • Intro to Machine Learning
  • git/GitLab
  • Intro to Docker
  • CHTC
  • Interactive Data Visualizations in Python and Streamlit
  • The Basics of Data Visualization

August 14-16, 2023 – High Dimensional Data Analysis

May 31-June 2, 2023 – Introduction to Deep Learning

March 13-17, 2023 – Intermediate Research Software Development in Python

October 24-25, 2022 – Building Transformer-Based Natural Language Processing Applications

September 7-December 14, 2022 – Fall Mini-Workshop Series

  • Unix Shell
  • Git/GitHub
  • Intro to Machine Learning with Sklearn
  • Intro to Docker
  • Interactive Data Visualizations in Python
  • Intro to Julia

April 21-April 22, 2022 – Introduction to Deep Learning

September 15-December 8, 2021 – Fall Mini-Workshop Series

  • Data Science for Clinicians and Docs
  • Intro to Docker
  • Git/GitHub
  • Intro to Machine Learning with SKLearn
  • Interactive Data Visualizations in Python

January 29-April 29, 2020 – Spring Mini-Workshop Series

  • Automating Tasks with Unix Shell
  • Introduction to Data
  • Introduction to SQL
  • Introduction to Git/GitHub
  • Introduction to GitHub Pages
  • Introduction to Docker
  • Automation with Make

September 16-December 9 , 2020 –  Fall Mini-Workshop Series

  • Automating Tasks with Unix Shell
  • Data Management with SQL
  • Version Control with Git/GitHub
  • Jekyll Pages
  • Introduction to Docker

History

Since January 2019, the Data Science Hub has been carrying on the tradition of hosting these workshops on the UW-Madison campus that the Advanced Computing Initiative started in April 2013. Research Computing Facilitators from the Center for High Throughput Computing have also been key in developing the Carpentries community at UW-Madison.