Software Carpentry + Reproducibility Workshop

Data Science Hub

This event is an example‑driven two‑day workshop on basic computing skills for researchers. Short tutorials alternate with hands‑on practical exercises, and participants are encouraged to help one another and to try applying what they have learned to their own research problems during and between sessions. Participants should bring their own laptops to work on. See <A HREF="https://software-carpentry.org/workshops/" TARGET="_blank" DATA-MSYS-CLICKTRACK="0" REL="nofollow noopener noreferrer">https://software-carpentry.org/workshops/</A> and <A HREF="https://uw-madison-datascience.github.io/2020-01-22-uwmadison-swc/" TARGET="_blank" TITLE="https://uw-madison-datascience.github.io/2019-01-22-uwmadison-swc/" DATA-MSYS-CLICKTRACK="0" REL="nofollow noopener noreferrer">https://uw-madison-datascience.github.io/2020-01-22-uwmadison-swc/</A> for more information.  This workshop is in conjunction with the Data Science Research Bazaar (Jan 24-25, 2020, <A HREF="https://hub.datascience.wisc.edu/research-bazaar-madison-wi-january-24-25-2020/" TARGET="_blank" DATA-MSYS-CLICKTRACK="0" REL="nofollow noopener noreferrer">https://hub.datascience.wisc.edu/research-bazaar-madison-wi-january-24-25-2020/</A>).  Each day has two workshop options.
Day 1: - Reproducibility Workshop: An overview of reproducible practices to incorporate into your research (using citation managers, finding datasets, electronic lab notes books, publishing your dataset/scripts/workflow).  This session will include lectures, active learning activities, and demos of popular tools.  No prior scripting/programming experience is required and we will not be teaching a specific programming language. OR - Automation with the Unix Shell + Version Control with Git: The first half of this hands-on workshop session will teach learners how to use the Unix shell to navigate their file system and how to automate repetitive tasks. The second half of this session will teach learners how to use the popular version control software git to track changes to their scripts and files, and how to use git in conjunction with GitHub to backup and share their scripts.
Day 2: - Programming and Plotting with Python: This lesson is an introduction to programming in Python for people with little or no previous programming experience. Python is a popular language for scientific computing, and great for general-purpose programming as well. This lesson uses plotting as its motivating example and teaches best practices for scientific computing including: breaking down analyses into modular units, task automation, and encapsulation. OR - R for Reproducible Scientific Analysis: The goal of this lesson is to teach novice programmers to write modular code and best practices for using R for data analysis. R is commonly used in many scientific disciplines for statistical analysis and its array of third-party packages. We find that many scientists who come to Software Carpentry workshops use R and want to learn more. The emphasis of these materials is to give attendees a strong foundation in the fundamentals of R, and to teach best practices for scientific computing: breaking down analyses into modular units, task automation, and encapsulation. Note that this workshop will focus on teaching the fundamentals of the programming language R, and will not teach statistical analysis.
Please use your university address (@wisc.edu) to register for the UW-Madison Affiliate Tickets.

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Software Carpentry + Reproducibility Workshop

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Software Carpentry + Reproducibility Workshop

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