NOTE: This is for an event that is over 4 days; Oct.16-17 & 23-24 from 9am-noon each of those days.  The schedule for the days is as follows: 

• Oct 16: Data Organization in Spreadsheets; OpenRefine for Data Cleaning
• Oct 17: Data Management with SQL
• Oct 23: Intro to R
• Oct 24:  R Continued

When you register please indicate in the form if you cannot make all of the days. 

Details

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.

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: Powell Library, 10740 Dickson Ct, Los Angeles, CA 90095. Get directions with OpenStreetMap or Google Maps.

When: Oct 16-17 & 23-24, 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). If you do not have a laptop, Library CLICCS laptops are also available. 

Code of Conduct: Everyone who participates in Carpentries activities is required to conform to the Code of Conduct. This document also outlines how to report an incident if needed.

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 datascience@ucla.edu for more information.