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Roger Peng: Sustaining data science — in classrooms, code, and conversations

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Manage episode 502561386 series 3678167
Content provided by Posit, PBC and PBC. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Posit, PBC and PBC or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://ppacc.player.fm/legal.

Michael, Hadley, and Wes welcome Roger Peng, professor of statistics and data science at UT Austin and co-host of Not So Standard Deviations. Together they trace Roger’s journey from early R adopter to pioneering online educator and prolific podcaster. The conversation ranges from the accidental rise of “data science” as a field, to the tension between research papers and software maintenance, to what makes for meaningful, lasting creative work.

What’s Inside:

  • Roger’s first analysis project and what it taught him about authorship and data
  • Roger’s advice for students testing the waters in data science
  • Why software has become the unifying language of modern statistics
  • The origins of “data science” as a field and a label
  • Reflections on Coursera, MOOCs, and opening education to the world
  • What keeps a podcast (and a career) going strong after a decade-plus
  continue reading

5 episodes

Artwork
iconShare
 
Manage episode 502561386 series 3678167
Content provided by Posit, PBC and PBC. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Posit, PBC and PBC or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://ppacc.player.fm/legal.

Michael, Hadley, and Wes welcome Roger Peng, professor of statistics and data science at UT Austin and co-host of Not So Standard Deviations. Together they trace Roger’s journey from early R adopter to pioneering online educator and prolific podcaster. The conversation ranges from the accidental rise of “data science” as a field, to the tension between research papers and software maintenance, to what makes for meaningful, lasting creative work.

What’s Inside:

  • Roger’s first analysis project and what it taught him about authorship and data
  • Roger’s advice for students testing the waters in data science
  • Why software has become the unifying language of modern statistics
  • The origins of “data science” as a field and a label
  • Reflections on Coursera, MOOCs, and opening education to the world
  • What keeps a podcast (and a career) going strong after a decade-plus
  continue reading

5 episodes

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