General Information

Data Carpentry develops and teaches workshops on the fundamental data skills needed to conduct research. Its target audience is researchers who have little to no prior computational experience, and its lessons are domain specific, building on learners' existing knowledge to enable them to quickly apply skills learned to their own research. Participants will be encouraged to help one another and to apply what they have learned to their own research problems.

For more information on what we teach and why, please see our paper "Good Enough Practices for Scientific Computing".

Who: Women and gender minorities in any field of research or industry who would benefit from learning how to code, including graduate students, researchers, faculty, and industry professionals from Memorial University or the greater St. John's community. These workshops will cover introductory material designed for those brand new to programming but may also be suitable for those looking to expand upon existing coding skills by learning a new programming language. You don't need to have any previous knowledge of the tools that will be presented at the workshop.

Where: EN2116, Engineering Building, Memorial University, 40 Arctic Avenue, St. John's, Newfoundland. Get directions with OpenStreetMap or Google Maps.

When: March 30 - 31, 2019. Add to your Google Calendar.

Requirements: Participants must bring a laptop with a Mac, Linux, or Windows operating system (not a tablet, Chromebook, etc.) that they have administrative privileges on. They should have a few specific software packages installed (listed below). They are also required to abide by Data Carpentry's Code of Conduct.

Accessibility: We are committed to making this workshop accessible to everybody. The workshop organizers have checked that:

• The room is wheelchair / scooter accessible.
• Accessible restrooms are available.

Materials will be provided in advance of the workshop and large-print handouts are available if needed by notifying the organizers in advance. If we can help making learning easier for you (e.g. sign-language interpreters, lactation facilities) please get in touch (using contact details below) and we will attempt to provide them.

Contact: Please email danielle.quinn@mun.ca or occ356@mun.ca for more information.

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Surveys

Please be sure to complete these surveys before and after the workshop.

Pre-workshop Survey

Post-workshop Survey

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Schedule

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Syllabus

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Setup

To participate in a Data Carpentry workshop, you will need access to the software described below. In addition, you will need an up-to-date web browser.

We maintain a list of common issues that occur during installation as a reference for instructors that may be useful on the Configuration Problems and Solutions wiki page.