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SER May 2018

SER May 2018

This talk introduces four skills used to teach literacy in grades K-12, and shows how they can be applied to teaching yourself how to learn data science with R.

Jesse Maegan

May 23, 2018
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Transcript

  1. Mind the Gap Effective strategies to help data science learners

    go from R novice to R programmer Jesse Mostipak @kierisi
  2. The places where you have the most challenges are the

    places where you have the most to give. — Tracy McMillan Jesse Mostipak @kierisi
  3. 4/N SKILLS GREAT TEACHERS USE ▸ Close reading ▸ Questioning

    ▸ Write it down ▸ Peer communities Jesse Mostipak @kierisi
  4. Close reading ▸ Focus on the text ▸ Read &

    re-read ▸ Note what's confusing Jesse Mostipak @kierisi
  5. Questioning ▸ What do I already know (about this)? ▸

    What do I think this might be about? ▸ What do I want to know (about this)? Jesse Mostipak @kierisi
  6. Write it down Use a Know, Want to know, &

    Learned chart to organize your questions and direct your learning Jesse Mostipak @kierisi
  7. 4/N SKILLS GREAT learners USE ▸ Close reading ▸ Questioning

    ▸ Write it down (KWL chart) ▸ Peer communities Jesse Mostipak @kierisi
  8. INSTRUCTIONS 1. Write out a KWL chart 2. Practice asking

    questions 3. Practice close reading 4. When instructed, talk to your peers Jesse Mostipak @kierisi