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.
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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.
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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
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EXIN Privacy & Data Protection Essentials (PDPE) is a certification that validates a professional’s knowledge about organizing the protection of personal data, the EU rules and regulations regarding data protection.
Wherever personal data is collected, stored, used, and finally deleted or destroyed, privacy concerns arise. With the EU General Data Protection Regulation (GDPR) the Council of the European Union aims to strengthen and unify data protection for all individuals within the European Union (EU). This regulation affects every organization that processes personal data of EU citizens. The EXIN Privacy & Data Protection Essentials certification covers the main subjects related to the GDPR, which should be known by everyone working with personal data.
The new standard in the ISO/IEC 27000 series: ISO/IEC 27701:2019 Security Techniques – Extension to ISO/IEC 27001 and ISO/IEC 27002 for Privacy Information Management – Requirements and Guidelines is useful for organizations that want to show compliance with the GDPR. The content of the new ISO standard helps fulfill the GDPR obligations to organizations regarding the processing of personal data.
Neither the GDPR nor the ISO standard are exam literature. However, the literature matrix in Chapter 4 is designed to show the link between the exam requirements, the literature, the GDPR and the ISO/IEC 27701:2019 standard to give the certification a broader context.
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Prove your knowledge of Evidence-Based Management.
In the Professional Agile Leadership™ – Evidence-Based Management (PAL-EBM) one day course, participants learn what EBM is and how to apply it through hands-on, activity-based learning.
Through a series of exercises participants learn techniques that support a more agile mindset:
- Use empiricism to set and achieve strategic goals, managing the unknown and complexity through experimentation and by adapting goals along the way
- Create a cultural environment using clear goals, appropriate measures and trust to enable self management and autonomy
- Shift the conversation away from measuring progress purely through team performance metrics, toward a focus on customer-centricity and improving customer outcomes
- Drive operational improvements by using four Key Value Areas (Unrealized Value, Current Value, Time-toMarket, and the Ability to Innovate) as lenses for evidence-based decision-making
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This one-day SPLK-ADVDVIZ8.1: Advanced Dashboards and Visualizations with Splunk 8.1 course is designed for advanced users who want to create SplunkJS dashboards and Splunk Custom Visualizations. It focuses on creating dashboards, adding inputs, using event handlers and creating Splunk Custom Visualizations using JavaScript and XML.
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In this Google Cloud course, you learn how to do the kind of data exploration and analysis in Looker that would formerly be done primarily by SQL developers or analysts.
Upon completion of this course, you will be able to leverage Looker’s modern analytics platform to find and explore relevant content in your organization’s Looker instance, ask questions of your data, create new metrics as needed, and build and share visualizations and dashboards to facilitate data-driven decision making.
Master Looker BI tools at RM2,040 – 15% discount available now.
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This Google Cloud course empowers you to develop scalable, performant LookML (Looker Modeling Language) models that provide your business users with the standardized, ready-to-use data that they need to answer their questions. Upon completing this course, you will be able to start building and maintaining LookML models to curate and manage data in your organization’s Looker instance.
Now RM2,040 – get 15% off this practical LookML data modeling course.
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This course gets those charged with administering Information Server v11.5 and its suite of many products and components started with the basic administrative tasks necessary to support Information Server users and developers.
The course begins with a functional overview of Information Server and the products and components that support these functions. Then it focuses on the basic administrative tasks an Information Server administrator will need to perform including user management, session management, and reporting management tasks. The course covers both the use of Information Server administrative clients such as the Administration Console and Metadata Asset Manager and the use of command line tools such as istool and encrypt.
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In this classroom course, you will learn basic concepts and skills you need to be productive users on the IBM i. With plenty of hands-on labs, we show everything from signing to the available user interfaces; green screen environment, System i Navigator and Systems Director Navigator for i. You will learn how objects are managed on the system and how you display these objects. You will learn to use Control Language (CL) commands (fast path) and how to work with and manage messages on the system. We will also address how the system manages work and how you manage your printouts. We will also provide a basic overview of security.
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This course introduces the features and components provided with IBM Case Foundation 5.2.1. IBM Case Foundation 5.2.1: Introduction (F230G) covers:
- Introduction to Basic elements of FileNet workflow applications.
- Introduction to the administrative tools used to administer FileNet workflow applications.
- IBM Case Foundation architecture.
IBM Case Foundation 5.2.1: Introduction (F230G) is the first course in in the series of courses available for IBM Case Foundation 5.2.1
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 F237G: IBM Case Foundation 5.x – Workflow application deployment course trainers the skills that are needed to deploy FileNet workflow applications from one environment to another.
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 0E069G: IBM SPSS Modeler Foundations v18.2 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
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Master the art of text analytics with IBM SPSS Modeler: From Data to Insights in 1 course.
This course (formerly: Introduction to IBM SPSS Text Analytics for IBM SPSS Modeler (v18)) teaches you how to analyze text data using IBM SPSS Modeler Text Analytics. You will be introduced to the complete set of steps involved in working with text data, from reading the text data to creating the final categories for additional analysis. After the final model has been created, there is an example of how to apply the model to perform churn analysis in telecommunications. Topics include how to automatically and manually create and modify categories, how to edit synonym, type, and exclude dictionaries, and how to perform Text Link Analysis and Cluster Analysis with text data. Also included are examples of how to create resource templates and Text Analysis packages to share with other projects and other users.
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
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This 0G09BG: Advanced Statistical Analysis Using IBM SPSS Statistics v26 course provides an application-oriented introduction to advanced statistical methods available in IBM SPSS Statistics. Students will review a variety of advanced statistical techniques and discuss situations in which each technique would be used, the assumptions made by each method, how to set up the analysis, and how to interpret the results. This includes a broad range of techniques for predicting variables, as well as methods to cluster variables and cases.
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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.
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This 0K09BG: Advanced Statistical Analysis Using IBM SPSS Statistics v26 course provides an application-oriented introduction to advanced statistical methods available in IBM SPSS Statistics. Students will review a variety of advanced statistical techniques and discuss situations in which each technique would be used, the assumptions made by each method, how to set up the analysis, and how to interpret the results.
This includes a broad range of techniques for predicting variables, as well as methods to cluster variables and cases.
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This course guides students through the fundamentals of using IBM SPSS Statistics for typical data analysis process. Students will learn the basics of reading data, data definition, data modification, and data analysis and presentation of analytical results. Students will also see how easy it is to get data into IBM SPSS Statistics so that they can focus on analyzing the information. In addition to the fundamentals, students will learn shortcuts that will help them save time. This course uses the IBM SPSS Statistics Base features.
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 J1357G: IBM Planning Analytics: Analyze Data and Create Reports 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.
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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.
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 teaches experienced authors advanced report building techniques to enhance, customize, manage, and distribute reports. Additionally, the student will learn how to create highly interactive and engaging reports that can be run offline by creating Active Reports.
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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The IBM Spectrum Protect (formerly Tivoli Storage Manager or TSM) suite of products includes the Spectrum Protect Server and many add-on products and components for providing enterprise class data protection and disaster recovery. In this Fundamentals of Spectrum Protect course we provide a simple, easy-to-understand introduction to many of the components and technologies associated with Spectrum Protect along with a series of videos to help better understand the content.
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The IBM Spectrum Protect (formerly Tivoli Storage Manager or TSM) suite of products includes the Spectrum Protect Server and many add-on products and components for providing enterprise class data protection and disaster recovery. In this Fundamentals of Spectrum Protect course we provide a simple, easy-to-understand introduction to many of the components and technologies associated with Spectrum Protect along with a series of videos to help better understand the content.
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This course teaches you the skills that are needed to administer IBM WebSphere Application Server V9.
This release of IBM WebSphere Application Server provides enhanced support for standards (notably Java 7 EE), emerging technology, and a choice of development frameworks.
In this course, you learn how to configure and maintain IBM WebSphere Application Server V9 in a single-server environment. You learn how to deploy enterprise Java applications in a single computer configuration. In addition, you learn how to work with features of WebSphere Application Server V9, such as the wsadmin scripting interface, security, and performance monitoring.
Hands-on exercises throughout the course give you practical experience with the skills you develop in the lectures.
For information about other related courses, see the IBM Training website:
http://www.ibm.com/training
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This course is also available as classroom course IBM Cloud Pak for Automation, Installation and Administration (WB318G).
This course is designed to teach the skills that are needed to work with IBM Cloud Pak for Automation. Through a presentation and three hands-on lab exercises, you learn to deploy the IBM Operational Decision Manager (ODM) and IBM FileNet P8 Content Platform Engine products in containerized environments by using IBM Cloud Pak for Automation. You use Network File System (NFS), Db2, and Lightweight Directory Access Protocol (LDAP) as required by ODM and Content running in docker containers. You also learn some basic skills to manage, troubleshoot, and administer the installed containerized products that are deployed on the Red Hat OpenShift environment. In the lab exercises, you interact with the OpenShift cluster by using both the OpenShift Command-line interface (CLI) and the web console.
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This O3201G: 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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Learn to explore, summarize and interpret data like a pro.
This 0G51BG: Statistical Analysis Using IBM SPSS Statistics v26 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.
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This WA590G: WebSphere Application Server v9 Administration course teaches you the skills that are needed to administer IBM WebSphere Application Server V9.
This release of IBM WebSphere Application Server provides enhanced support for standards (notably Java 7 EE), emerging technology, and a choice of development frameworks.
In this course, you learn how to configure and maintain IBM WebSphere Application Server V9 in a single-server environment. You learn how to deploy enterprise Java applications in a single computer configuration. In addition, you learn how to work with features of WebSphere Application Server V9, such as the wsadmin scripting interface, security, and performance monitoring.
Hands-on exercises throughout the course give you practical experience with the skills you develop in the lectures.
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This DP-080T00: Querying Data with Microsoft Transact-SQL course will teach the basics of Microsoft’s dialect of the standard SQL language: Transact-SQL. Topics include both querying and modifying data in relational databases that are hosted in Microsoft SQL Server-based database systems, including: Microsoft SQL Server, Azure SQL Database and, Azure Synapse Analytics.
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This 0A069G: IBM SPSS Modeler Foundations v18.2 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.
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This 0A079G: Introduction to Machine Learning Models Using IBM SPSS Modeler v18.2 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.
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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 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 B6259G: IBM Cognos Analytics: Author Reports Advanced v11.x course teaches experienced authors advanced report building techniques to enhance, customize, manage, and distribute reports. Additionally, the student will learn how to create highly interactive and engaging reports that can be run offline by creating Active Reports.
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Microsoft Cloud for Sustainability
As a result of attending this course, the learner should be able to understand the sustainability concepts and how the business thinks of tracking and reporting emissions, describe Microsoft Cloud for Sustainability customer scenarios, and configure the features of Microsoft Sustainability Manage.
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Dynamics 365 Sales helps accelerate sales teams’ efforts with relationship-building tools and AI-driven insights. In this course, students will learn how to configure and leverage Dynamics 365 Sales to set sales teams up for success. First, students will set up and configure lead and opportunity management strategies. Then students will organize their product catalog and process sales orders. Finally, students will leverage relationship selling features, the Sales accelerator, and Sales Insights.
In this course students will also learn how to set up and deploy Microsoft Copilot for Sales, a productivity tool to help sellers inside and outside Dynamics 365 Sales. This course is part of a four-course series (MB-280T01-T04) aligning to the MB-280 certification exam.
