Course outline

Learn to use Data Science Experience – eLearning

Categories: Guaranteed To Run™, IBM

GK IBM LS Partner

Duration: 2.5 Hours

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. http://www.ibm.com/training/terms

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

Data Scientist, Data Engineer, Application Developer

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
This course is delivered by an authorized IBM Global Training Provider.

Feel free to contact us, if you want to know the price and location of this course. A Digital Revolver representative will contact you shortly to help you with your inquiry.
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  • Guaranteed to Run™. This ensures you will attend the instructor led class or live online class you want as scheduled without any disruptive cancellations*. You book the training you need, get back to focusing on your job and are sure your training requirements will be met saving time, money and ensuring peace of mind.
  • This schedule icon the schedule indicates that this date/time will be conducted as Instructor Led Training (ILT) or a Virtual Instructor Led Training (VILT) depending on the indicated class availablity.
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