Web-based training
IBM Cloud Private for Data - Foundations - eLearning - 6X134G
This learning offering will tell a holistic story of IBM Cloud Private for Data including collaboration across an organization, which is key in this platform. Applicable to all personas. Four use cases will provide understanding of how organizations can benefit from IBM Cloud Private for Data. A variety of features will also be explored, providing students with the insight on how to use the platform.
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Description
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
IBM Cloud Private
Describe the IBM Cloud Private platform
Explainthe IBM Cloud Private technical components
IBM Cloud Private for Data
Describe the IBM Cloud Private for Data platform
Explain the architecture and platform
Explore four common use cases and their primary personas
Describe the collaboration efforts in IBM Cloud Private for Data
Collaboration and workflows
Describe the personas, roles and permissions in IBM Cloud Private for Data
Describe a typical IBM Cloud Private for Data workflow
Explore how each persona aligns within the workflow
Explain the use case that will be used throughout the course
Access data
Describe the differences between a data source and a data set
Understand how to find the supported data sources
Add and connect to a data source
Add a data set to an analytics project
Federate data
Organize data
Search and discover assets within IBM Cloud Private for Data
Request data you need for your project
Understand data catalog and how to work with it
Create and work with a data dictionary
Explore and profile data
Transform data with ETL
Analyze data
Manage the projects for analyzing data
Explain the usage of notebooks
Understand RStudio overview
Create machine learning models
Apply model management and deployment
Administer the platform
Application administration tasks
Cluster administration tasks
Aim
Please refer to course overview
Participant requirements
Digital Technical Engagement assets: IBM Cloud Private for Data (https://ibm-dte.mybluemix.net/ibm-cloud-private-for-data)
General knowledge of IBM Cloud Private
Participant
Data Engineer, Data Steward, Data Scientist, Business Analyst, Application Developer, Administrator