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Course Description

This Data Science Online course is designed to introduce students to IBM Data Science Experience. The course covers how to create and set up a project and to be familiar with how to create, code, collaborate, and share notebooks while working with a variety of data sources to analyze data.

If you are enrolling in a Self Paced Virtual Classroom or Web Based Training course, before you enroll, please review the Self-Paced Virtual Classes and Web-Based Training Classes on our Terms and Conditions page, as well as the system requirements, to ensure that your system meets the minimum requirements for this course.

Objectives

  • Define DSX
  • Set up a project
  • Work with collaborators
  • Manage data assets
  • Describe Jupyter notebooks
  • Create notebooks
  • Code and run notebooks
  • Share and publish notebooks

Audience

Data Scientist, Data Engineer, Application Developer

Prerequisites

N.A.

Content

Introduction to IBM Data Science Experience

  • Define DSX
  • Set up a project
  • Work with collaborators
  • Manage data assets

 

Analyzing data with DSX

  • Describe Jupyter notebooks
  • Create notebooks
  • Code and run notebooks
  • Share and publish notebooks

 


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