This offering teaches Professional Report Authors about advanced report building techniques using relational data models, dimensional data, and ways of enhancing, customizing, managing, and distributing professional reports. The course builds on topics presented in the Fundamentals course. Activities will illustrate and reinforce key concepts during this learning activity.
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This 0A0U8G: Predictive Modeling for Categorical Targets Using IBM SPSS Modeler v18.1.1 course focuses on using analytical models to predict a categorical field, such as churn, fraud, response to a mailing, pass/fail exams, and machine break-down. Students are introduced to decision trees such as CHAID and CR Tree, traditional statistical models such as Logistic Regression, and machine learning models such as Neural Networks.
Students will learn about important options in dialog boxes, how to interpret the results, and explain the major differences between the models.
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DB2 11 for z/OS beginning DBAs can develop fundamental skills or recognition through lectures and hands-on exercises of:
- TSO/E and ISPF
- Data sets
- DB2 Objects
- Structured Query Language
- DB2 Commands
- JCL and SDSF
- DB2 Utilities
- DB2 Logging
- DB2 Program Preparation
The course materials cover DB2 11 for z/OS.
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This W7070G: IBM Watson Assistant Methodology course covers the methods of preparing for, training, and implementing an IBM Watson Assistant chatbot. It provides instruction on every step of the Assistant development process, including common use case review, user scenario development, vocabulary comprehension, data collection, tooling use, and deployment.
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In this 6 hour W7068G: IBM Watson Discovery for Developers web-based training (WBT), you will learn how Watson Discovery lets business analysts and developers rapidly build cognitive, cloud-based exploration applications that unlock actionable insights hidden in unstructured data — including your own proprietary data, as well as public and third-party data.
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In this W7067G: Watson Studio Methodology course, you will explore data preparation, data modeling, data visualization, and data cataloging using Watson Studio, Watson Knowledge Catalog, and Watson Machine Learning.
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This training offering provides business analysts with an introduction to the basics of IBM Watson Knowledge Catalog. They will learn how to access the Watson Knowledge Catalog and gain skills in creating catalogs, populating them with assets, and then managing the assets in the catalog.
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IBM Cognos Command Center: Automation Using Plugin Tasks (V10.2) is a one hour vignette that displays many ways in which IBM Cognos Command Center (ICCC) functionality can be extended using plugins. Through demonstration you will learn how to use file utilities and ftp utilities to manipulate and extract information from files, use system utilities to monitor and manage Windows services, and interact with IBM Cognos TM1 processes, chores and other objects.
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 offering teaches Cloudant developers how to build and query all of the different types of indexes supported by Cloudant.
Note: Guided eLearning is a self-paced offering which includes web-based content for self study and videos (including audio) that demonstrate hands-on activities.
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 course provides Administrators with guidance on installing and administering the IBM Planning Analytics – Local environment. The course outlines how the architecture can be customized to fit into various infrastructures. Students will learn how to install and configure IBM Planning Analytics – Local, monitor system performance, and secure applications.
Note: Guided eLearning is a self-paced offering which includes web-based content for self-study and videos (including audio) that demonstrate activities.
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 K04001G: dashDB SQL for Basic Queries course teaches developers, database administrators, and system programmers the basics of SQL queries, including the SELECT, FROM, WHERE, and ORDER BY clauses, simple joins and scalar functions.
Note: Guided eLearning is a self-paced offering which includes web-based content for self-study and videos (including audio) that demonstrate activities.
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 course provides participants with a high level overview of the IBM Cognos Analytics suite of products and their underlying architecture. The participants will explore different components and examine how those components relate to an analytics solution.
Note: Guided eLearning is a self-paced offering which includes web-based content for self-study and videos (including audio) that demonstrate activities.
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.
