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SUMMARY:Introduction to Julia for Statisticians and Data Scientists - Day 1
DESCRIPTION:This three-part workshop will give an overview of the Julia language for conducting data analyses and managing data. The workshop assumes no prior experience with Julia\, but participants should have prior programming experience with a language such as Python\, R\, or Matlab. The format of the workshop is lecture/discussion but participants may bring a laptop if they wish to have a hands-on experience. The instructor will be using Julia on greatlakes for demonstration so it is advisable (but not essential) for participants to have a greatlakes account. \nDay 1: Introduction to the language and tools\, managing data with dataframes\, producing simple graphs \nDay 2: Basic regression analysis using generalized linear models \nDay 3: Intermediate regression analyses using GEE\, mixed models\, and survival analysis
URL:https://micde.umich.edu/event/introduction-to-julia-for-statisticians-and-data-scientists-day-1/
LOCATION:Rackham Building\, Earl Lewis Room\, 3rd Floor East\, 915 E. Washington St.\, Ann Arbor\, MI\, 48109\, United States
CATEGORIES:Workshops
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SUMMARY:Introduction to Julia for Statisticians and Data Scientists Day #2
DESCRIPTION:This three-part workshop will give an overview of the Julia language for conducting data analyses and managing data. The workshop assumes no prior experience with Julia\, but participants should have prior programming experience with a language such as Python\, R\, or Matlab. The format of the workshop is lecture/discussion but participants may bring a laptop if they wish to have a hands-on experience. The instructor will be using Julia on greatlakes for demonstration so it is advisable (but not essential) for participants to have a greatlakes account. \nDay 1: Introduction to the language and tools\, managing data with dataframes\, producing simple graphs \nDay 2: Basic regression analysis using generalized linear models \nDay 3: Intermediate regression analyses using GEE\, mixed models\, and survival analysis
URL:https://micde.umich.edu/event/introduction-to-julia-for-statisticians-and-data-scientists-day-2/
LOCATION:Rackham Building\, Earl Lewis Room\, 3rd Floor East\, 915 E. Washington St.\, Ann Arbor\, MI\, 48109\, United States
CATEGORIES:Workshops
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DTSTART;TZID=America/Detroit:20220818T090000
DTEND;TZID=America/Detroit:20220818T110000
DTSTAMP:20260605T235631
CREATED:20220722T155422Z
LAST-MODIFIED:20230217T195843Z
UID:10000575-1660813200-1660820400@micde.umich.edu
SUMMARY:Introduction to Julia for Statisticians and Data Scientists Day #3
DESCRIPTION:This three-part workshop will give an overview of the Julia language for conducting data analyses and managing data. The workshop assumes no prior experience with Julia\, but participants should have prior programming experience with a language such as Python\, R\, or Matlab. The format of the workshop is lecture/discussion but participants may bring a laptop if they wish to have a hands-on experience. The instructor will be using Julia on greatlakes for demonstration so it is advisable (but not essential) for participants to have a greatlakes account. \nDay 1: Introduction to the language and tools\, managing data with dataframes\, producing simple graphs \nDay 2: Basic regression analysis using generalized linear models \nDay 3: Intermediate regression analyses using GEE\, mixed models\, and survival analysis
URL:https://micde.umich.edu/event/introduction-to-julia-for-statisticians-and-data-scientists-day-3/
LOCATION:Rackham Building\, Earl Lewis Room\, 3rd Floor East\, 915 E. Washington St.\, Ann Arbor\, MI\, 48109\, United States
CATEGORIES:Workshops
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