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Unlock the value of your data in new ways and accelerate your journey with IBM Data and Analytics.

Provide a trusted data foundation for AI by collecting and organizing data, then virtualize it across disparate systems for AI-fueled decisions. Learn to reduce regulatory and reputational risk with solutions from IBM Watson and IBM Security.

Artificial intelligence is changing the way businesses operate, and data is the key to unlocking its potential. IBM Data and Analytics provides the tools you need to collect, organize, and act on data so you can make better decisions for your company.

IBM Data and Analytics training will provide you with expertise to elevate customer experiences, automate IT operations and improve financial planning by integrating AI into workflows and learn to create an enduring data and AI strategy with a data & AI platform that runs anywhere.

Transform your business with the power of AI. With IBM Data and Analytics, you can get ahead of the competition by making smarter decisions based on real-time data. Enroll in an IBM course today.

Unlock the value of your data in new ways and accelerate your journey with IBM Data and Analytics.

Provide a trusted data foundation for AI by collecting and organizing data, then virtualize it across disparate systems for AI-fueled decisions. Learn to reduce regulatory and reputational risk with solutions from IBM Watson and IBM Security.

Artificial intelligence is changing the way businesses operate, and data is the key to unlocking its potential. IBM Data and Analytics provides the tools you need to collect, organize, and act on data so you can make better decisions for your company.

IBM Data and Analytics training will provide you with expertise to elevate customer experiences, automate IT operations and improve financial planning by integrating AI into workflows and learn to create an enduring data and AI strategy with a data & AI platform that runs anywhere.

Transform your business with the power of AI. With IBM Data and Analytics, you can get ahead of the competition by making smarter decisions based on real-time data. Enroll in an IBM course today.

  • 2 Days SPVC

    Do you want to find match member records, link member records, and perfect a search algorithm for your InfoSphere MDM Virtual implementation? Then this course is designed for you. The InfoSphere MDM Virtual Module Algorithms v11 course prepares students to work with and customize the algorithm configurations deployed to the InfoSphere MDM Probabilistic Matching Engine (PME) for a Virtual MDM implementations. The PME is the heart of all Matching, Linking, and Searching for entities (Person, Organization, etc) that exist in InfoSphere MDM. This course has a heavy emphasis on the exercises, where the students will implement the customization discussed in the course to perform matching, linking, and searching on fields not provided by the default implementation. At the end of this course it is expected students will feel comfortable customizing an algorithm for the PME for a Virtual implementations.

    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

    Do you want to find duplicates and perfect a search algorithm for your InfoSphere MDM Physical implementation? Then this course is designed for you. The InfoSphere MDM V11 Physical Module Algorithms course prepares you to work with and customize the algorithm configurations deployed to the InfoSphere MDM Probabilistic Matching Engine (PME) for the Physical MDM implementation.

    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 course is designed to guide report authors in building on their expertise with IBM Cognos Analytics by applying dimensional techniques to reports. Through interactive demonstrations and exercises, participants will learn how to author reports that navigate and manipulate dimensional data structures using the specific dimensional functions and features available in IBM Cognos Analytics.

  • ZZ981G: InfoSphere MDM Physical Module Algorithms v11

    Price range: RM1,680.00 through RM4,850.00
    3 Days ILT, VILT

    The ZZ981G: InfoSphere MDM Physical Module Algorithms v11 course prepares you to work with and customize the algorithm configurations deployed to the InfoShere MDM Probabilistic Matching Engine (PME) for the Physical MDM implementation.

    Learn about

    • Information Management
    • InfoSphere Master Data Management (MDM)
    • InfoSphere Master Data Management
  • B6061G: IBM Cognos Analytics – Author Reports with Multidimensional Data v11.0

    Price range: RM1,680.00 through RM3,450.00
    2 Days ILT, VILT

    This course is designed to guide report authors in building on their expertise with IBM Cognos Analytics by applying dimensional techniques to reports. Through interactive demonstrations and exercises, participants will learn how to author reports that navigate and manipulate dimensional data structures using the specific dimensional functions and features available in IBM Cognos Analytics.

  • ZZ880G: Virtual Module Algorithms for InfoSphere MDM v11

    Price range: RM1,680.00 through RM3,450.00
    2 Days ILT, VILT

    Do you want to find match member records, link member records, and perfect a search algorithm for your InfoSphere MDM Virtual implementation?

    Then this course is designed for you. The InfoSphere MDM Virtual Module Algorithms V.11 course prepares students to work with and customize the algorithm configurations deployed to the InfoSphere MDM Probabilistic Matching Engine (PME) for Virtual MDM implementations. The PME is the heart of all Matching, Linking, and Searching for entities (Person, Organization, etc) that exist in InfoSphere MDM. This course has a heavy emphasis on the exercises, where the students will implement the customization discussed in the course to perform matching, linking, and searching on fields not provided by the default implementation.

    At the end of this course, it is expected that students will feel comfortable customizing an algorithm for the PME for Virtual implementations.

  • ZZ870G: InfoSphere MDM Application Toolkit v11.3

    Price range: RM1,680.00 through RM3,450.00
    2 Days ILT, VILT

    The InfoSphere MDM Application Toolkit course introduces students to the Business Process Manager (BPM) and the Process Designer to create processes that will use MDM data and services.

    This course has a heavy emphasis on exercises and takes a participant through creating a process to search and update a customers address. The search, get and update services are performed against the InfoSphere MDM.

    If you are looking to get an introduction to how BPM and MDM can work together using the MDM Application Toolkit, then this course is for you.

  • KM423G: IBM InfoSphere DataStage v11.x – Advanced Data Processing

    Price range: RM1,680.00 through RM3,450.00
    2 Days ILT, VILT

    This KM423G: IBM InfoSphere DataStage v11.x – Advanced Data Processing course is designed to introduce you to advanced parallel job data processing techniques in DataStage v11.5. In this course you will develop data techniques for processing different types of complex data resources including relational data, unstructured data (Excel spreadsheets), and XML data. In addition, you will learn advanced techniques for processing data, including techniques for masking data and techniques for validating data using data rules. Finally, you will learn techniques for updating data in a star schema data warehouse using the DataStage SCD (Slowly Changing Dimensions) stage. Even if you are not working with all of these specific types of data, you will benefit from this course by learning advanced DataStage job design techniques, techniques that go beyond those utilized in the DataStage Essentials course.

  • 1 Day ILT, VILT

    This course teaches authors, with basic knowledge of group accounting and Microsoft Excel, how to design and generate financial reports using IBM Cognos Controller. Students will learn how to create ad hoc and standard reports to analyze data. They will also develop custom reports using the Report Generator utility and the Excel Link. In addition, students will learn how to run multiple reports at the same time with report books.

    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 focuses on reviewing concepts of data science, where participants will learn the stages of a data science project. Topics include using automated tools to prepare data for analysis, build models, evaluate models, and deploy models. To learn about these data science concepts and topics, participants will use IBM SPSS Modeler as a 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.

  • 1 Day SPVC

    This course gets you up and running with a set of procedures for analyzing time series data.  Learn how to forecast using a variety of models, including regression, exponential smoothing, and ARIMA, which take into account different combinations of trend and seasonality. The Expert Modeler features will be covered, which is designed to automatically select the best fitting exponential smoothing or ARIMA model, but you will also learn how to specify your own custom models, and also how to identify ARIMA models yourself using a variety of diagnostic tools such as time plots and autocorrelation plots.

    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

  • 1 Day SPVC

    This 0E038G: Advanced Predictive Modeling Using IBM SPSS Modeler v18.1.1 course presents advanced models to predict categorical and continuous targets. Before reviewing the models, data preparation issues are addressed such as partitioning, detecting anomalies, and balancing data. The participant is first introduced to a technique named PCA/Factor, to reduce the number of fields to a number of core fields, referred to as components or factors. The next units focus on supervised models, including Decision List, Support Vector Machines, Random Trees, and XGBoost. Methods are reviewed to combine supervised models and execute them in a single run, both for categorical and continuous targets.

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