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TZID:America/Chicago
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DTSTART:20220710T000000
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DTSTART:20221106T020000
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DTSTART:20230312T030000
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SUMMARY:Introduction to Causal Inference - Roni Kobrosly
DTSTART;TZID=America/Chicago:20230710T133000
DTEND;TZID=America/Chicago:20230710T173000
DTSTAMP:20261015T203343Z
UID:pretalx-2023-CQRYUC@cfp.scipy.org
DESCRIPTION:This tutorial session is intended to give attendees a gentle i
 ntroduction to applying causal thinking and causal inference to data using
  python. Causal data analysis is very common in many academic domains (e.g
 . in social psychology\, epidemiology\, macroeconomics\, etc) as well as i
 n industry (all of the largest Silicon Valley tech companies employ teams 
 of scientists who answer business questions purely with causal inference m
 ethods). The tutorial will involve a combination of presentations with ope
 n Q&A and hands-on exercises contained in Google Colab notebooks.
LOCATION:Classroom 203
URL:https://cfp.scipy.org/2023/talk/CQRYUC/
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