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Summer Intern Data Carpentry Workshop

SI Carpentries


Before we start...

Code of Conduct

  • We are dedicated to providing a welcoming and supportive environment for all people, regardless of background or identity.

Code of Conduct

https://docs.carpentries.org/topic_folders/policies/code-of-conduct.html


Code of Conduct

  • Go to Instructors or Helpers if you feel the Code of Conduct is being violated.

  • There is also a big blue "Report a Code of Conduct Incident" on the course website if you feel the Instructors are not handling appropriately.


Introductions

Instructors and Helpers


What is the Carpentries?

https://carpentries.org/

The Carpentries is a global volunteer-driven organization dedicated to teaching computational skills to researchers and anyone who works with data.


Carpentries at the Smithsonian

https://datascience.si.edu/carpentries

The Smithsonian Carpentries Team is made up of Smithsonian staff and fellows from around the institution.


Carpentries way of teaching

Code along, rather than lecturing from PowerPoint, or just demonstrating

Odds of running into an error are high, but don’t panic – this is a great opportunity to learn


We won’t leave you behind


How to make sure we don't leave you behind

In the real world, we used to use Post-It notes to indicate progress, but for this workshop we'll also use the "yes" / "no" buttons in the Zoom Reactions panel.

Zoom Yes No


How to ask questions

The Instructors will try to build in time between lessons to ask questions, but use the Zoom chat for questions that come up during a lesson.

Zoom Question


Course website

https://smithsonian.github.io/2024-07-16-smithsonian/


Course EtherPad

A collaborative document – think of it as a stripped-down version of Google Docs

https://pad.carpentries.org/2024-07-16-smithsonian


Your first challenge

  • Go to the EtherPad

  • Add your name, unit, and answer the icebreaker question under Attendance for today


What we will be teaching in this workshop

Data Carpentry introduces you to the fundamentals of computing and provides you with a platform for further self-directed learning.


We will be teaching you a lot of valuable skills on a demo dataset, but you won't be able to add these tools to your toolbag until you work through how to apply them to your own data.


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