University Libraries and TDAI have partnered to lead the delivery of the Carpentries at the Ohio State University. The Carpentries are an international organization that delivers a collection of lessons aimed at introducing data and coding skills to spread data and programming literacy. As part of the membership, the Libraries and TDAI havethe ability to designate individuals to receive Carpentries instructor training and certification. This represents a unique opportunity to provide our communities membership in a globally recognized teaching community.
For 2020-21, the Carpentries team at OSU aims to provide 4 workshops that are led by Carpentries instructors coordinated by the Carpentries, augmenting the TDAI Data Literacy workshops and various data-centered Libraries workshops. In addition to these Carpentries-organized workshops, TDAI and the Libraries may self-organize as many workshops as we would like, using the Carpentries developed material.
This workshop is from 9 – 4:30 EST
Registration here: https://osu.az1.qualtrics.com/jfe/form/SV_3XfF2tLIgTatFD7
This workshop is full, but add your name to the waitlist to be notified of future workshops!
|Before starting||Pre-workshop survey|
|Morning||OpenRefine for Data Cleaning|
|Afternoon||Introduction to Python|
|Morning||Continuation of Python: Data Analysis & Visualization|
|Afternoon||Continuation of Python: Data Analysis & Visualization|
|Evening||Post-workshop survey / END|
Content and Format
This workshop will be held online, using the Zoom platform. The Zoom meeting link will be sent to registrants that have confirmed prerequisite software installation. A full schedule and syllabus for the training may be found here: https://annajiat.github.io/2021-02-18-osu-online/
Preparation and Requirements
Detailed installation notes can be found here: https://datacarpentry.org/socialsci-workshop/setup-python-workshop.html
Attending Online Workshops
Here are a couple helpful links on attending an online workshop that will help make your experience as positive as possible:
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