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Understanding Data Science Skillsets and Roles

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Manage episode 245808292 series 2293348
Content provided by TAG Data Science & Analytics, TAG Data Science, and Amp; Analytics. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by TAG Data Science & Analytics, TAG Data Science, and Amp; Analytics 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.

In this episode of TAG Data Talk, we talk with Dr. Renata Rawlings-Goss, Executive Director of the South Big Data Innovation Hub, IDEaS, Georgia Tech about understanding data science skillsets and roles.

  • What are the types of data science skills and roles
  • How do different data science roles connect with each other
  • Describe some of the commonly neglected skills needed by data scientists
  • What's the business value of different data science skillsets
  continue reading

65 episodes

Artwork
iconShare
 
Manage episode 245808292 series 2293348
Content provided by TAG Data Science & Analytics, TAG Data Science, and Amp; Analytics. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by TAG Data Science & Analytics, TAG Data Science, and Amp; Analytics 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.

In this episode of TAG Data Talk, we talk with Dr. Renata Rawlings-Goss, Executive Director of the South Big Data Innovation Hub, IDEaS, Georgia Tech about understanding data science skillsets and roles.

  • What are the types of data science skills and roles
  • How do different data science roles connect with each other
  • Describe some of the commonly neglected skills needed by data scientists
  • What's the business value of different data science skillsets
  continue reading

65 episodes

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