Learn. Earn. Succeed with IBM Education.

IBM Training and certifications by Trainocate Malaysia offers you the ability to earn credentials to demonstrate your expertise. It is designed to validate your skills and capability to perform role-related tasks and activities at a specified level of competence.

The IBM Professional Certification Program offers you the ability to earn credentials to demonstrate your expertise. The achievement of an IBM Professional Certification demonstrates to your colleagues and employers your expertise in the related IBM technologies and solutions.

Whether its to gain greater insights and innovate faster with IBM Analytics, or build the foundation for cognitive business with IBM Systems Infrastructure courses or innovating with IBM cloud, we’ve got you covered.

Whether you need to gain new skills, earn credentials, or change careers, building skills is an investment in your future. Get started today.

Learn. Earn. Succeed with IBM Education.

IBM Training and certifications by Trainocate Malaysia offers you the ability to earn credentials to demonstrate your expertise. It is designed to validate your skills and capability to perform role-related tasks and activities at a specified level of competence.

The IBM Professional Certification Program offers you the ability to earn credentials to demonstrate your expertise. The achievement of an IBM Professional Certification demonstrates to your colleagues and employers your expertise in the related IBM technologies and solutions.

Whether its to gain greater insights and innovate faster with IBM Analytics, or build the foundation for cognitive business with IBM Systems Infrastructure courses or innovating with IBM cloud, we’ve got you covered.

Whether you need to gain new skills, earn credentials, or change careers, building skills is an investment in your future. Get started today.

  • 3 Days SPVC

    This course will step you through the QualityStage data cleansing process. You will transform an unstructured data source into a format suitable for loading into an existing data target. You will cleanse the source data by building a customer rule set that you create and use that rule set to standardize the data. You will next build a reference match to relate the cleansed source data to the existing target 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.

  • 1 Day SPVC

    This 2M510G: IBM InfoSphere Information Server 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 administration 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.

  • 1 Day SPVC

    This 2M520G: IBM InfoSphere DataStage Engine Administration for Information Server v11.5 course teaches Information Server and/or DataStage administrators to configure, manage, and monitor the DataStage Engine which plays a crucial role in Information Server.  It not only runs high performance parallel ETL jobs designed and built in DataStage.  It also supports other Information Server products including Information Analyzer, QualityStage, and Data Click.

    After introducing DataStage parallel jobs and the Engine that runs them, the course describes DataStage project configuration, the Engine’s development and runtime environments, and the Engine’s data source connectivity.  In addition the course explains how to import and export DataStage objects, how to run and monitor DataStage jobs through the command line and GUI, and how to use some important Engine utilities.

  • 1 Day SPVC

    This course teaches data scientists how to use the data science capabilities of IBM Integrated Analytics System, using Watson Studio, RStudio, Spark, and in-database analytics.

  • Out of stock
    1 Day WBT

    This coure is a prerequisite for the IX224 Database Administration course.  It introduces students to basic Informix terminology, system access, and data types.

    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.

  • 1 Day SPVC

    This 1W730G: IBM Integrated Analytics System (IIAS) for Administrators v1.0 course provides participants with advanced administration skills for IBM Integrated Analytics System.

    This course is designed to give participants an overview of the IIAS system, show how to administer the system using the console and command line interface, and extend the appliance. Participants will also monitor the system and performance in addition to managing users and security.

    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.

  • 1 Day VILT

    This course will build a foundation for students interested in what master data is and how it is managed. The student will learn about master data management (MDM), MDM implementation styles, and a variety of MDM use cases. The student will then be introduced to multiple IBM MDM solutions and will gain an understanding of the capabilities of each solution.

    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.

  • 2 Days SPVC

    This 2E121G: SQL Workshop course provides an introduction to the SQL language. This course is appropriate for those working in all DB2 environments, but particularly for, z/OS, Linux, UNIX, and Windows.

    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.

  • 2 Days SPVC

    This 0K51BG: Statistical Analysis Using IBM SPSS Statistics 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.

  • 1 Day SPVC

    This 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 C&R 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.

    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.

  • 1 Day SPVC

    This 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 C&R 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.

    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.

  • 2 Days SPVC

    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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