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TZID:America/New_York
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DTSTART:20241103T020000
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TZNAME:EST
TZOFFSETFROM:-0400
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DTSTART:20250309T020000
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DESCRIPTION:Registration is required. In this training session\, we will c
 onduct a live demonstration on the cohort builder and dataset builder fun
 ctions in the All of Us Workbench. Additionally\, we will explore the ana
 lysis section using R within Jupyter Notebooks. Learning objectives By th
 e end of this course\, participants will be able to:Create and manage a w
 orkspace (storage & billing) Share and collaborate within workspaces Buil
 d cohorts and datasets Navigate the analysis environment and run basic an
 alyses Technical requirements (software packages\, BYO computer\, etc.) B
 YO Computer Class prerequisites (if any) All of Us account (required)If y
 ou need to create an account: [link to previous training] All of Us works
 pace setup and proof of account verification (required)Create a workspace
  and complete your verification form here: https://forms.cloud.microsoft/
 r/raC0q3zix5 Questions? Email Maximilian.wegener@yale.edu\n\nSpeaker:\nMa
 ximilian Wegener\n\nAdmission:\nFree: Open\; Registration is required.\n\
 nDetails URL:\nhttps://medicine.yale.edu/event/nih-all-of-us-data-trainin
 g-and-jupyter-notebooks-in-person/\n
DTEND;TZID=America/New_York:20260310T120000
DTSTAMP:20260414T023940Z
DTSTART;TZID=America/New_York:20260310T100000
GEO:41.303230;-72.933870
LOCATION:Sterling Hall of Medicine\, L-Wing\, SHM-L111\, 333 Cedar Street\
 , New Haven\, CT\, United States
SEQUENCE:0
STATUS:Confirmed
SUMMARY:NIH All of Us Data Training Series (In-Person)
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