Learn to use Data Science Experience
Code: I2000G-WBTOverview
This 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. /terms
Audience
Data Scientist, Data Engineer, Application Developer
Prerequisites
None
Objective
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
Course Outline
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
Price (ex. VAT)
Duration
Schedule
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Delivery methods
- Classroom
- On-site (at your location)
- Virtual (instructor online)
Inquire
We will contact you to discuss your requirements