Jupyter for Data Science Teams Treningskurs

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7 timer (vanligvis 1 dag inkuldert pauser)


  • Programming experience in languages such as Python, R, Scala, etc.
  • A background in data science


Jupyter is an open-source, web-based interactive IDE and computing environment.

This instructor-led, live training introduces the idea of collaborative development in data science and demonstrates how to use Jupyter to track and participate as a team in the "life cycle of a computational idea".  It walks participants through the creation of a sample data science project based on top of the Jupyter ecosystem.

By the end of this training, participants will be able to:

  • Install and configure Jupyter, including the creation and integration of a team repository on Git
  • Use Jupyter features such as extensions, interactive widgets, multiuser mode and more to enable project collaboraton
  • Create, share and organize Jupyter Notebooks with team members
  • Choose from Scala, Python, R, to write and execute code against big data systems such as Apache Spark, all through the Jupyter interface


  • Data science teams

Format of the course

  • Part lecture, part discussion, exercises and heavy hands-on practice



  • The Jupypter Notebook supports over 40 languages including R, Python, Scala, Julia, etc. To customize this course to your language(s) of choice, please contact us to arrange.


To request a customized course outline for this training, please contact us.




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