IBM

Contains PDF course guide, as well as a lab environment where students can work through demonstrations and exercises at their own pace. This offering provides Business and Professional Authors with an introduction to report building techniques using relational data models. Techniques to enhance, customize, and manage professional reports will be explored. Activities will illustrate and reinforce key concepts during this learning opportunity. 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

Compare dimensional and relational data sources Understand dimensional concepts and reporting styles Create reports using dimensional data items such as members, levels, and hierarchies Focus reports using dimensional techniques such as edge filters, slicers, and filter functions Navigate dimensional data structures using functions to find related members or comparison time periods Create sophisticated measure calculations Understand totals and aggregation Analyze reports with drill-up and drill-down techniques Configure advanced drilling behavior to support complex calculations and dashboard reports Set up drill-through access from one data source to another

This course is designed to teach participants how to identify components and sub-components of the IBM Cognos Analytics architecture and how to use tools and techniques to provide a foundation to troubleshoot issues. Through lecture and interactive exercises participants will identify IBM Cognos Analytics components, examine how these components interact with Java, and will explore logging to assist when troubleshooting issues. 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

This course provides participants with a high level overview of the IBM Cognos Analytics suite of products and their underlying architecture. They will examine each component as it relates to an Analytics solution. Participants will be shown a range of resources to provide additional information on each product. 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

This course provides participants with introductory to advanced knowledge of how to model metadata for predictable reporting and analysis results using IBM Cognos Cube Designer. Participants will learn the full scope of the metadata modeling process, from initial project creation, to publishing a dynamic cube, and enabling end users to easily author reports and 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

IBM Cognos Data Manager: Build Data Marts with Enterprise Data (V10.2) is a five-day, self-paced training course that teaches participants how to move, merge, consolidate, and transform data from a range of data sources to build and maintain subject-area data marts. In the process, students will create a catalog and add connections to data sources and targets. They will also deliver fact and dimension data to a data mart through the use of builds and the dimensional framework. In addition, students will learn how to automate common functionality and handle complex data issues, such as unbalanced hierarchical structures. 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.

This course is designed to teach modelers how to build a complete model in IBM Planning Analytics using Planning Analytics Workspace. Through a series of lectures and hands-on exercises, students will learn how to set up dimensions and cubes, manually enter data into these structures, and define the data that users can see. Students will also learn how to transfer data into the IBM Planning Analytics model, including the use of Turbo Integrator scripts to perform data transfer. In addition, the course outlines how to customize drill paths, convert currencies, and model for different fiscal requirements.

This course is designed to teach modelers how to build a complete model in IBM Planning Analytics using the Architect tool. Through a series of lectures and hands-on exercises, students will learn how to set up and verify dimensions, cubes, and views, manually enter data into these structures, and define the data that users can see. Students will also learn how to transfer data into the IBM Planning Analytics model, including the use of Turbo Integrator scripts to perform data transfer. In addition, the course outlines how to customize drill paths, convert currencies, model for different fiscal requirements, and deploy IBM Planning Analytics applications to the web. 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.

This course is designed to teach analysts how to use IBM Planning Analytics to analyze data to discover trends and exceptions, create and customize reports and templates, and contribute data to plans. Through a series of lectures and hands-on activities, you will learn how use Planning Analytics Workspace and Planning Analytics for Microsoft Excel to create analyses, enter data, create custom views and dashboards, and build formatted reports and forms.

This training teaches data modelers how to model data using data modules in IBM Cognos Analytics. Users will learn how to create data modules from different sources, such as uploaded files. They will also identify how to customize their data modules by adding joins, calculations, and filters. In addition, they will examine how to group their data (for example, by using navigation paths), how to share their data modules with others, and how to make use of some advanced modeling techniques, such as relative date analysis. 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.

This Web-Based Training course provides students with knowledge and experience in using the administration capabilities available in the IBM Cognos Analytics 11.0 portal. They will learn how to manage the security environment, perform deployment of application content, create and manage data server connections, view and manage runtime activities, such as schedules, and manage some system 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.

This course provides business users with knowledge of metadata modeling concepts and how to model metadata using IBM Cognos Analytics 11. Participants will learn the full scope of the metadata modeling process, from creating Data Sources, creating Data Modules, to the sharing of metadata to other users, facilitating reports and analyses by themselves and colleagues. Participants will learn to use data servers and uploaded files as data sources, and to add intent to their data model. They will learn how to add tables to their models, set and modify object properties, create calculations, identify joins, as well as how to clean, format, and group their data for reporting purposes. 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.

The IBM Cognos Analytics: Introduction to Authoring (v11.0) course presents you with ways to create, enhance, customize, and manage reports and charts using IBM Cognos Analytics - Reporting. Participants will view demonstrations and work through scenarios that illustrate key introductory concepts while exploring the basics of the Reporting tool. 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.

This Web-Based Training 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. You will learn how to add data sources, create and interact with dashboards, and customize content for presentation. You will also learn how to create effective narratives by using stories, and how to use explorations to perform a deeper analysis on your data.

IBM Cognos Analytics for Consumers (v11.0) will teach consumers how to access content, use reports, create dashboards, and personalize the appearance of IBM Cognos Analytics portal. 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.

This course covers the basic configuration of Tririga Anywhere.  You will gain an understanding of OSLC, how it is created and imported into Anywhere, and to query the OSLC. You will be able to change field labeling, create queries, add and display new field, add lookups, images and provide new sort options for mobile devices.

This course is designed to teach data scientists, Operational Research specialists, and business analysts how to build, run and deploy basic optimization models using IBM Decision Optimization on IBM Cloud Pak for Data. You will learn how to create projects to manage your resources, use the user-friendly Model Builder interface to build, run and visualize models, use different methods to formulate models, including using the Modeling Assistant for formulate your model in natural language. You will also learn how to import and use python notebooks to create your models, and how to deploy the solution to end users within Cloud Pak for Data.

This course covers the basic configuration of Tririga Anywhere.  You will gain an understanding of OSLC, how it is created and imported into Anywhere, and to query the OSLC. You will be able to change field labeling, create queries, add and display new field, add lookups, images and provide new sort options for mobile devices.