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IHME's weekly Data Science Brown Bag series

License: MIT License

Jupyter Notebook 11.01% HTML 88.71% Shell 0.06% Python 0.23%

data-science-brown-bag's Introduction

IHME's weekly Data Science Brown Bag series

The basics

  • Everyone is invited
    • No prior knowledge or experience expected!
  • Zero commitment
    • (Unless you're presenting...)
    • Topics will be posted by Monday, so you can decide whether it's useful to you
  • Quick intros to a topic
    • What is it?
    • Why do you think it's cool?
    • How can I get started?
    • Who should use it, and when?
    • Where can I learn more?
    • Not a lecture!
  • Brainstorming sessions
    • Quick summary of your problem
    • What you've already tried (if anything)
    • Ideally, a reproducible example or dataset

How to get involved

The schedule

Date Topic of the week Brainstorming
2017-10-13 xarray (Kyle F) Brown bag structure (Kyle F)
2017-10-27 RMarkdown (Grant Nguyen)
2017-11-17 Submitting array jobs (Kendrick Tang)
2017-12-08 git tricks (Alec Deason)
2018-01-05 Regular Expressions (Falko Goettsch)
2018-02-02 Command Line for Data Science (Kyle Foreman)
2018-02-16 Automatically Mapping Verbal Autopsy Interviews (Abie Flaxman)
2018-03-02 Command Line Crash Course - Life on the Command Line (Falko Goettsch)
2018-03-31 Setting up Linux Environment Panel (Kendrick, Alec, David, and Grant)
2018-04-27 Using awk & sed (Falko)

data-science-brown-bag's People

Contributors

djpatel2 avatar kforeman avatar gnguy avatar falkogoettsch avatar

Watchers

James Cloos avatar

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