Data Science
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IBM Cloud Pak for Data 5.0: Technical Essentials
This course provides an overview of the IBM Cloud Pak for Data platform, its deployment options, services, exemplary business scenarios, and the architecture.
IBM Cloud Pak for Data: Administration
The course focuses on the Day 2 Operations of managing the Cloud Pak for Data platform once it has been installed.
IBM Cognos Analytics: Dashboard Essentials (V11.1.x)
This course teaches authors how to create dashboards in IBM Cognos Analytics so users can explore and interact with their data and gain insight into their business.
IBM Cognos Analytics: Modeling with Data Modules (V11.1.x)
This training teaches data modelers how to model data using data modules in IBM Cognos Analytics, and how to customize data modules to meet their business needs.
IBM InfoSphere Master Data Management Fundamentals (V11.6)
This course will build a foundation for students interested in what master data is and how it is managed.
IBM Manta End User Orientation Demonstration
This course explores Manta user interface fundamentals and principal features that are most relevant to end users.
IBM Manta Metadata Administration Demonstration
This course explores Manta's fundamentals and top features that are most relevant to Metadata Administrators.
IBM OpenPages: Technical Essentials
This course offers a comprehensive exploration of the features, functions, and capabilities of IBM OpenPages.
IBM Planning Analytics: Administer the Technical Environment – Local
This course provides Administrators with guidance on installing and administering the IBM Planning Analytics - Local environment.
IBM Process Mining Project Journey
This course provides an overview of how to plan and deliver IBM Process Mining projects.
IBM Process Mining: Advanced product customizations
This course teaches you how to customize KPIs, metrics, and filters with IBM Process Mining.
IBM Process Mining: Analytics for a Process Mining Project
This course provides instruction in how to create the logic for dashboard widgets using IBM Process Mining.