Jupyter for Data Science Teams

Course Code



7 hours (usually 1 day including breaks)


  • 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.

Course Outline

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


Bookings, Prices and Enquiries

Guaranteed to run even with a single delegate!

Private Classroom

From £1450

Private Remote

From £1300 (100)

Public Classroom

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