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.

Data Analysis & Visualization

Cloud Computing

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

Python

R/RStudio

Intro to R and RStudio (DC) [Ecology, Genomics, Geospatial, Social Sciences]
R for Raster and Vector Data (DC) [Geospatial]
Data Science for Clinicians and Docs

Unix

Automating Tasks with the Unix Shell (DC – Genomics, SWC)
Automation with Make

Data Cleaning & Management

Data Cleaning with OpenRefine (DC) [Ecology, Social Sciences]
Data Management with SQL (DC) [Ecology, Social Sciences ]
Data Organization in Spreadsheets (DC) [Ecology, Social Sciences]
Data Wrangling and Processing (DC) [Genomics]
Project Organization and Management (DC) [Genomics]

Machine Learning & AI

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

Version Control & Containerization

Miscellaneous

Building Websites with Jekyll & GitHub

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.

Data Carpentry

August 5-9, 12-13, 2024 – Genomics
June 17-20, 2024 – REU/Undergrad Researchers
June 3-6, 2024 – Geospatial
January 8-11, 2024 – Ecology
August 14-17, 21-22, 2023 – Genomics
June 5-8, 2023 – Geospatial
June 5-8, 2023 – REU/Undergraduates
May 15-18, 2023 – Health Science
January 9-12, 2023 – Ecology
August 22-23, 2022 – Social Science
August 17-18, 2022 – Geospatial
August 1-4, 8-9, 2022 – Genomics
June 6-9, 2022 – REU/Undergraduates
May 16-17, 2022 – Health Science
March 14-17, 2022 – Ecology
August 23-September 3, 2021 – Genomics
July 6-16, 2021 – Geospatial
June 7-14, 2021 – REU/Undergraduates
May 12-19, 2021 – Social Science
May 3-10, 2021 – Health Science
January 18-25, 2021 – Ecology
July 13-17 — Geospatial
June 16-25 — Health Science
June 11-19 — REU / Undergraduates
September 11-October 9, 2019 – Ecology
August 5-6, 12, 2019 – Genomics
July 11-12, 2019 – Geospatial
June 27-28, 2019 – REU / Undergraduates
June 11-12, 2019 – Health Science
January 16-17, 2019 – Ecology
August 27-28, 2018 – Ecology
June 4-5, 2018 – Ecology
January 8-9, 2018 – Ecology
August 22-23, 2017 – Ecology
June 19-20, 2017 – Ecology
January 10-11, 2017 – Ecology
August 23-24, 2016 – Ecology
June 1-2, 2016 – Ecology
January 11-12, 2016 – Ecology

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.