This event is an example-driven two-day workshop on basic computing skills. Short tutorials alternate with hands-on practical exercises, and participants are encouraged both to help one another, and to try applying what they have learned to their own research problems during and between sessions. Participants should bring their own laptop to work on. This should be a "real" laptop - not a Chromebook, tablet, etc. You should also be sure to have admin privileges on this computer.
For more information about this workshop, see https://bids.github.io/2019-01-17-bids/. Visit http://www.datacarpentry.org/ to learn more about Data Carpentry. Participants are asked to complete our pre- and post- workshop survey to help us understand how to serve you. The pre-workshop survey can be found here: https://www.surveymonkey.com/r/swc_pre_workshop_v1?workshop_id=2019-01-17-bids
Nima Hejazi is a PhD student in the Group in Biostatistics, where he is jointly supervised by Mark van der Laan and Alan Hubbard. Nima is also affiliated with the UC Berkeley NIH Biomedical Big Data training program and the Center for Computational Biology. Currently, his research centers around nonparametric statistical and causal inference, machine learning, and statistical computing – focusing on the development of robust techniques for inference and estimation in an eclectic collection of problem settings, with applications often arising in precision medicine, vaccine efficacy trials, computational biology, and public policy.
Scott Peterson works in the Arts & Humanities Division of the UC Berkeley Library where he runs the Morrison Library and Graduate Services Library. He is also a member of the Computational Text Analysis Working Group and the Digital Humanities Working Group at UC Berkeley. Scott has been a Carpentries instructor for the past year.