This IBM Predictive Modeling training course provides an overview of how to use IBM SPSS Modeler to predict a target field that describes numeric values. Students will be exposed to rule induction models such as CHAID and CR Tree. They will also be introduced to traditional statistical models such as Linear Regression. Students are introduced to machine learning models, such as Neural Networks. Business use case examples include: predicting the length of subscription for newspapers, telecommunication, and job length, as well as predicting insurance claim amounts.
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This 0A008G: Introduction to IBM SPSS Modeler and Data Science v18.x course provides the fundamentals of using IBM SPSS Modeler and introduces the participant to data science. The principles and practice of data science are illustrated using the CRISP-DM methodology. The course provides training in the basics of how to import, explore, and prepare data with IBM SPSS Modeler v18.1.1, and introduces the student to modeling.
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This official web-based IBM DB2 Analytics Accelerator course provides training in the basics of the IBM DB2 Analytics Accelerator. The course introduces the student to the product layout and functionality and describes the various ways of storing DB2 data in IBM DB2 Analytics Accelerator. In addition to IBM DB2 Analytics Accelerator, it will also teach the student how to set up and work with the IBM Data Studio Accelerator Suite. The demonstrations will explore how tables can be loaded into IBM DB2 Analytics Accelerator, how to predict if tables could run on the accelerator using special register settings, why queries may not be candidates for the accelerator, how to disable or remove tables from the Accelerator, and finally, demonstrate the monitoring feature that is built-into the accelerator studio view.
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.
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This KM423G: IBM InfoSphere DataStage v11.x – Advanced Data Processing course is designed to introduce you to advanced parallel job data processing techniques in DataStage v11.5. In this course you will develop data techniques for processing different types of complex data resources including relational data, unstructured data (Excel spreadsheets), and XML data. In addition, you will learn advanced techniques for processing data, including techniques for masking data and techniques for validating data using data rules. Finally, you will learn techniques for updating data in a star schema data warehouse using the DataStage SCD (Slowly Changing Dimensions) stage. Even if you are not working with all of these specific types of data, you will benefit from this course by learning advanced DataStage job design techniques, techniques that go beyond those utilized in the DataStage Essentials course.
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This 2-days 6F86G: IBM Sterling File Gateway Managing Sterling File Gateway course introduces the student to the Sterling File Gateway functionality and provides the specific technical skills needed to deploy and support it. The course provides an overview of the features and provides hands-on exercises for creating routing templates, transforming file names, searching for files within a route, and reporting on file transfers.
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This 6X235G: IBM Cloud Pak for Data v2.5.x Data Virtualization learning offering will focus on the Data Virtualization add-on to IBM Cloud Pak for Data. Students will learn about the Data Virtualization technology and be able to create connections to remote data sources.
The offering will also cover how to create and manage virtual assets, such as database tables or views, from the remote data sources. Finally, the students will use those assets within IBM Cloud Pak for Data without needing to move any data.
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IBM SPSS Modeler is a premium service for IBM Cloud Pak for Data V3.0.x This 6X334G: IBM SPSS Modeler for IBM Cloud Pak for Data v3.x WBT course reviews the basics of how to import, explore, and prepare data, and introduces the student to machine learning models with SPSS Modeler for Cloud Pak for Data.
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Are you getting ready to administer database security policies? Learn how to configure Guardium V11 to discover, classify, analyze, protect, and control access to sensitive data. You will learn to perform vulnerability assessment, and how to monitor data and file activity. This course also teaches you how to create reports, audits, alerts, metrics, and compliance oversight processes.
*Please note: This is a self-paced virtual course, containing course manuals and an online lab environment, only. No audio or video is provided for this course.
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This AN30G: Power Systems for AIX – PowerVM I Implementing Virtualization course provides an overview of the PowerVM edition’s features on POWER processor-based systems. It explains the new features and benefits of virtualization including processor virtualization, Virtual I/O Server, and virtual devices, such as virtual Ethernet, virtual SCSI, and virtual Fibre Channel adapters. Basic and advanced configurations of the Virtual I/O Server and its clients are discussed including various availability options.
Expand your knowledge about PowerVM features that were introduced in Power Systems for AIX I: LPAR Configuration and Planning (AN11G).
This course provides lectures and hands on labs in an instructor lead course environment, either in a face-to-face classroom or in a live virtual classroom environment (ILO – Instructor Led Online).
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This B6252G: IBM Cognos Framework Manager: Design Metadata Models v11.x offering provides participants with introductory to advanced knowledge of metadata modeling concepts, and how to model metadata for predictable reporting and analysis results using IBM Cognos Framework Manager.
Participants will learn the full scope of the metadata modeling process, from initial project creation, to publishing of metadata to the web, enabling end users to easily author reports and analyze data.
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This O3268G: Fundamentals of IBM Watson Explorer Deep Analytics Edition oneWEX v12.0.x course is designed to teach students core concepts of IBM Watson Explorer Deep Analytics Edition oneWEX. Students will learn to identify the oneWEX platforms as well as the process flow and data flow of oneWEX projects.
Students will explore oneWEX tools, such as Content Miner and the Admin Console, while gaining hands-on experience in data acquisition and enrichment. Finally, students will be exposed to more advanced topics, such as Application Builder, Content Analytics Studio, and API usage.
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This F2930G: IBM Case Manager: Solution Deployment from Design to Production v5.3.2 course is designed to show you how to migrate and deploy Case Manager solutions from development to preproduction and production. Participants use a system with two instances of IBM Case Manager to practice the skills that are required by solution builders and administrators to migrate and deploy solutions from one environment to another.
