Jupyter for Data Science Teams Training Course

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

Audience

• Data science teams

Format of the course

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

Note

• 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.