This course introduces system administration concepts in an IBM Power environment. Learn about the features of IBM PowerVM, our hypervisor, and how to start configuring and managing Logical Partitions (LPARs) for AIX using the Hardware Management Console (HMC).This course will help anyone who wants to use LPARs on IBM Power.
This course enables you to perform everyday tasks using the AIX operating system. Learn to perform everyday tasks using the AIX operating system.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). The lab images are using the AIX 7.3 operating system.
This course is designed from a user's perspective. The students are not required to have any prior knowledge of AIX or any other UNIX-based system. The course units have been designed in a logical order to enable a novice user to identify the major components of AIX. The students are introduced to the operating system by logging in and out of the system and carrying out a few basic operations. The hierarchical tree structure is explained in detail, as well as functions that can be carried out on files and directories. The concept of a shell is introduced and the operations that are supported through it. The one editor that is covered is vi, as it is available on most UNIX platforms. The concept of users owning jobs and processes is introduced, including the environment in which processes execute. Finally, to pull together all the ideas from the previous units, a few useful tools are introduced which help users customize their environments and write very simple shell scripts. This course provides content and hands on labs in a self paced virtual course (SPVC) environment. Upon meeting course and badge completion criteria, students will receive an IBM badge.
The TRIRIGA Capital Projects course will train students on how to create and deploy new capital projects and manage the budgets attached to them. Users will be able to organize and review relevant documents affiliated with large projects (drawings, invoices, specifications...). They will be able to also manage procurement, put in place a bidding process and complete payments. Users will also be able to track and report on the progress of projects and big programs
This learning offering will tell a holistic story of Cloud Pak for Data including collaboration across an organization, which is key in this platform. Applicable to all personas. Multiple use cases will provide understanding of how organizations can benefit from Cloud Pak for Data. A variety of features will also be explored, providing students with the insight on how to use the platform. This learning is relevant for Cloud Pak for Data and Cloud Pak for Data System.
6F125G is a 10-hour long self-paced course that gives you an overview of the item and pricing concepts along with an introduction to the IBM Sterling Business Center application.The course teaches students to perform item, pricing, and other related configurations using the Sterling Business Center application. Through a combination of procedural information and exercises, you can learn to create catalogs, items, pricing components, and perform system tasks. The course involves conceptual and procedural information, demonstrations, quizzes, and exercises in the form of hands-on labs and their solutions. This course includes a badge, which is awarded after the course is completed.
This course guides students through the fundamentals of using IBM SPSS Statistics for typical data analysis. Students will learn the basics of reading data, data definition, data modification, data analysis, and presentation of analytical results. In addition to the fundamentals, students will learn shortcuts that will help them save time. This course uses the IBM SPSS Statistics Base; one section presents an add-on module, IBM SPSS Custom Tables.
Contains: PDF course guide, as well as a lab environment where students can work through demonstrations and exercises at their own pace. This course provides an application-oriented introduction to the statistical component of IBM SPSS Statistics. Students will review several statistical techniques and discuss situations in which they would use each technique, how to set up the analysis, and how to interpret the results. This includes a broad range of techniques for exploring and summarizing data, as well as investigating and testing relationships. Students will gain an understanding of when and why to use these various techniques and how to apply them with confidence, interpret their output, and graphically display the results.
This course guides students through the fundamentals of using IBM SPSS Statistics for typical data analysis. Students will learn the basics of reading data, data definition, data modification, data analysis, and presentation of analytical results. In addition to the fundamentals, students will learn shortcuts that will help them save time. This course uses the IBM SPSS Statistics Base; one section presents an add-on module, IBM SPSS Custom Tables.
This course provides an application-oriented introduction to the statistical component of IBM SPSS Statistics. Students will review several statistical techniques and discuss situations in which they would use each technique, how to set up the analysis, and how to interpret the results. This includes a broad range of techniques for exploring and summarizing data, as well as investigating and testing relationships. Students will gain an understanding of when and why to use these various techniques and how to apply them with confidence, interpret their output, and graphically display the results.
Contains PDF course guide, as well as a lab environment where students can work through demonstrations and exercises at their own pace.This course provides an introduction to supervised models, unsupervised models, and association models. This is an application-oriented course and examples include predicting whether customers cancel their subscription, predicting property values, segment customers based on usage, and market basket 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. http://www.ibm.com/training/terms
Contains PDF course guide, as well as a lab environment where students can work through demonstrations and exercises at their own pace.This course provides the foundations 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 v18.2, and introduces the student to modeling.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 an introduction to supervised models, unsupervised models, and association models. This is an application-oriented course and examples include predicting whether customers cancel their subscription, predicting property values, segment customers based on usage, and market basket analysis.
This course provides the foundations 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 v18.2, and introduces the student to modeling.
El curso de SNOWFLAKE proporciona a los asistentes una comprensión completa y práctica de la plataforma de almacenamiento de datos en la nube Snowflake. Con estos conocimientos, los participantes estarán preparados para trabajar con Snowflake en entornos empresariales y abordar diversos desafíos de almacenamiento y procesamiento de datos.