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

None

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

Prior to enrolling, IBM Employees must follow their Division/Department processes to obtain approval to attend this public training class. Failure to follow Division/Department approval processes may result in the IBM Employee being personally responsible for the class charges.

GBS practitioners that use the EViTA system for requesting external training should use that same process for this course. Go to the EViTA site to start this process:

http://w3.ibm.com/services/gbs/evita/BCSVTEnrl.nsf

Once you enroll in a GTP class, you will receive a confirmation letter that should show:

• The current GTP list price
• The 20% discounted price available to IBMers. This is the price you will be invoiced for the class.