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: The course is aimed at graduate students and other researchers. You don't need to have any previous knowledge of the tools that will be presented at the workshop.

Where: Paper Tricentennial Building, Room 114, 500 10th St NW, Atlanta, GA 30332. Get directions with OpenStreetMap or Google Maps.

When: Jun 21-22, 2018. 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.

Draft Agenda

June 21, 2018

9am – 12pm:   Data organization and cleaning

12pm – 1pm:   Lunch

1pm - 4pm:      Data analysis & visualization in Python

4pm - 6pm:      Materials data poster session – PTB 1^st floor common area

June 22, 2018

9am – 12pm    Data analysis & visualization in Python

12pm -1pm      Lunch

1pm - 4pm       Data management with SQL

All workshop related information can be found here.