IBM - Human Growth Kazakhstan

IBM

Направление

  • BQ105G — IBM QRadar SIEM Foundations
    • Длительность: 3 дня (24 часа)
    • Код курса: BQ105G
    • Стоимость
    • Очный формат: По запросу
    • Онлайн формат: 783 000 ₸

    Описание курса

    Course Description

    IBM Security QRadar enables deep visibility into network, endpoint, user, and application activity. It provides collection, normalization, correlation, and secure storage of events, flows, assets, and vulnerabilities. Suspected attacks and policy breaches are highlighted as offenses. In this course, you learn about the solution architecture, how to navigate the user interface, and how to investigate offenses. You search and analyze the information from which QRadar concluded a suspicious activity. Hands-on exercises reinforce the skills learned.

    Objectives

    After completing this course, you should be able to perform the following tasks:
    Describe how QRadar collects data to detect suspicious activities
    Describe the QRadar architecture and data flows
    Navigate the user interface
    Define log sources, protocols, and event details
    Discover how QRadar collects and analyzes network flow information
    Describe the QRadar Custom Rule Engine
    Utilize the Use Case Manager app
    Discover and manage asset information
    Learn about a variety of QRadar apps, content extensions, and the App Framework
    Analyze offenses by using the QRadar UI and the Analyst Workflow app
    Search, filter, group, and analyze security data
    Use AQL for advanced searches
    Use QRadar to create customized reports
    Explore aggregated data management
    Define sophisticated reporting using Pulse Dashboards
    Discover QRadar administrative tasks

    Audience

    This course is designed for security analysts, security technical architects, offense managers, network administrators, and system administrators using QRadar SIEM.

    Prerequisites

    Before taking this course, make sure that you have the following skills:
    IT infrastructure
    IT security fundamentals
    Linux
    Windows
    TCP/IP networking
    Syslog

    Topics

    Unit 0: IBM Security QRadar 7.5 — Fundamentals
    Unit 1: QRadar Architecture
    Unit 2: QRadar UI — Overview
    Unit 3: QRadar — Log Source
    Unit 4: QRadar flows and QRadar Network Insights
    Unit 5: QRadar Custom Rule Engine (CRE)
    Unit 6: QRadar Use Case Manager app
    Unit 7: QRadar — Assets
    Unit 8: QRadar extensions
    Unit 9: Working with Offenses
    Unit 10: QRadar — Search, filtering, and AQL
    Unit 11: QRadar — Reporting and Dashboards
    Unit 12: QRadar — Admin Console

    In this 3-day instructor-led course, you learn how to perform the following tasks:
    Describe how QRadar collects data to detect suspicious activities
    Describe the QRadar architecture and data flows
    Navigate the user interface
    Define log sources, protocols, and event details
    Discover how QRadar collects and analyzes network flow information
    Describe the QRadar Custom Rule Engine
    Utilize the Use Case Manager app
    Discover and manage asset information
    Learn about a variety of QRadar apps, content extensions, and the App Framework
    Analyze offenses by using the QRadar UI and the Analyst Workflow app
    Search, filter, group, and analyze security data
    Use AQL for advanced searches
    Use QRadar to create customized reports
    Explore aggregated data management
    Define sophisticated reporting using Pulse Dashboards
    Discover QRadar administrative tasks

    Extensive lab exercises are provided to allow learners an insight into the routine work of an IT Security Analyst operating the QRadar SIEM platform. The exercises cover the following topics:
    Architecture exercises
    UI Overview exercises
    Log Sources exercises
    Flows and QRadar Network Insights exercises
    Custom Rule Engine (CRE) exercises
    Use Case Manager app exercises
    Assets exercises
    App Framework exercises
    Working with Offenses exercises.
    Search, filtering, and AQL exercises
    Reporting and Dashboards exercises
    QRadar Admin tasks exercises

  • BQ205G — IBM QRadar SIEM Advanced Topics
    • Длительность: 2 дня (16 часов)
    • Код курса: BQ205G
    • Стоимость
    • Очный формат: По запросу
    • Онлайн формат: 673 000 ₸

    Описание курса

    Overview

    QRadar SIEM provides deep visibility into network, user, and application activity. It provides collection, normalization, correlation, and secure storage of events, flows, assets, and vulnerabilities. Suspected attacks and policy breaches are highlighted as offenses.

    This 2-day instructor-led course walks you through various advanced topics about QRadar such as custom log sources, reference data collections and custom rules, X-Force data and the Threat Intelligence app, UBA and QRadar Advisor, tuning and custom action scripts. The course also discusses integration with IBM SOAR. Hands-on exercises reinforce the skills learned.

    The lab environment for this course uses the IBM QRadar SIEM 7.5 platform.

    Objectives

    Learn how to create custom log sources
    Discover how to work with reference data collections and custom rules
    Use X-Force data and Threat Intelligence app
    Use the Use Case Manager app
    Learn how to use UBA and QRadar Advisor
    Discover Tuning
    Explore Custom action scripts

    Discuss Integration with IBM SOAR

    Audience

    This course is designed for security administrators and security analysts.

    Prerequisites

    Students should be knowledgeable about the following topics:
    IT infrastructure
    IT security fundamentals
    Linux
    Windows
    TCP/IP networking
    Syslog
    Foundational skills for the IBM QRadar Security Intelligence Platform (at least the skills that are taught in the IBM QRadar SIEM Foundations — BQ105 course)

    Topics

    Unit 1: Custom log sources
    Unit 2: Reference data collections and custom rules
    Unit 3: IBM X-Force Threat Intelligence in QRadar
    Unit 4: User Behavior Analytics and Advisor with Watson
    Unit 5: Tuning
    Unit 6: Custom action scripts
    Unit 7: IBM SOAR integration

  • BQ405GUA — QRadar SOAR: Foundations
    • Длительность: 2 дня (16 часов)
    • Код курса: BQ405GUA
    • Стоимость
    • Очный формат: По запросу
    • Онлайн формат: 512 000 ₸

    Описание курса

    Course Description:

    In this course, you learn about the IBM Security® QRadar® SOAR architecture, and how to position the product in your company’s security architecture design. You gain hands-on experience with the SOAR interface, by investigating and managing cases and users with the SOAR Breach Response module, playbooks, and email integration.

    Objectives

    In this course, you learn about the following topics:
    QRadar SOAR architectural patterns
    Install the product, and configure license and access
    Review the SOAR Console
    Manage cases
    Utilize the concept of artifacts
    Utilize case management capabilities
    Integrate email system for users and case management
    Focus on the Breach Response module
    Gain hands-on experience with the SOAR platform
    Design playbooks
    Integrate IBM and third-party solutions with SOAR

    Audience

    Security operations center (SOC) Administrator
    SOC Analyst
    Security Analyst
    Incident Responder
    Managed Service Security Provider (MSSP)

    Topics

    Getting started

    Describe architectural patterns
    Install the product and configure license and access
    Review the SOAR Console
    Manage cases and use Breach Response add-on
    Utilize the concept of artifacts

    Case management and email integration

    Utilize case management capabilities
    Integrate email system for users and case management
    Focus on the Breach Response module

    Playbooks and integrations

    Gain hands-on experience with the SOAR platform
    Design playbooks
    Integrate IBM and third-party solutions with SOAR

  • 0G53BUA — IBM SPSS Statistics Essentials (V26)
    • Длительность: 2 дня (16 часов)
    • Код курса: 0G53BUA
    • Стоимость
    • Очный формат: По запросу
    • Онлайн формат: 530 500 ₸

    Описание курса

    Course overview

    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.

    Course objectives

    Introduction to IBM SPSS Statistics
    Reading data and defining metadata
    Selecting cases for analyses
    Transforming variables
    Using functions to transform variables
    Setting the unit of analysis
    Merging data files
    Summarizing individual variables
    Describing the relationship between variables
    Creating presentation-ready tables with Custom Tables
    Customizing pivot tables
    Working with syntax

    Controlling the IBM SPSS Statistics environment

    Audience

    New users of IBM SPSS Statistics
    Users who want to refresh their knowledge about IBM SPSS Statistics
    Anyone who is considering purchasing IBM SPSS Statistics

    Prerequisites

    Knowledge of your business requirements

    Course topics

    1. Introduction to IBM SPSS Statistics
    Review basic concepts in IBM SPSS Statistics
    Identify the steps in the research process
    Review basic analyses
    Use Help

    2. Reading data and defining metadata
    Overview of data sources
    Read from text files
    Read data from Microsoft Excel
    Read data from databases
    Define variable properties

    3. Selecting cases for analyses
    Select cases for analyses
    Run analyses for groups
    Apply report authoring styles

    4. Transforming variables
    Compute variables
    Recode values of categorical and scale variables
    Create a numeric variable from a string variable

    5. Using functions to transform variables
    Use statistical functions
    Use logical functions
    Use missing value functions
    Use conversion functions
    Use system variables
    Use the Date and Time Wizard

    6. Setting the unit of analysis
    Remove duplicate cases
    Create aggregate datasets
    Restructure datasets

    7. Merging data files
    Add cases from one dataset to another
    Add variables from one dataset to another
    Enrich a dataset with aggregated information

    8. Summarizing individual variables
    Define levels of measurement
    Summarizing categorical variables
    Summarizing scale variables

    9. Describing the relationship between variables
    Choose the appropriate procedure
    Summarize the relationship between categorical variables
    Summarize the relationship between a scale and a categorical variable

    10. Creating presentation-ready tables with Custom Tables
    Identify table layouts
    Create tables for variables with shared categories
    Create tables for multiple response questions

    11. Customizing pivot tables
    Perform Automated Output Modification
    Customize pivot tables
    Use table templates
    Export pivot tables to other applications

    12. Working with syntax
    Use syntax to automate analyses
    Create, edit, and run syntax
    Shortcuts in the Syntax Editor

    13. Controlling the IBM SPSS Statistics environment
    Set options for output
    Set options for variables display
    Set options for default working foldersa

  • 0G51AUA — Statistical Analysis Using IBM SPSS Statistics (V25)
    • Длительность: 2 дня (16 часов)
    • Код курса: 0G51A
    • Стоимость
    • Очный формат: По запросу
    • Онлайн формат: 530 500 ₸

    Описание курса

    Course overivew

    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, as well as 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 as well as how to apply them with confidence, interpret their output, and graphically display the results.

    Course objectives

    Introduction to statistical analysis
    Examine individual variables
    Test hypotheses about individual variables
    Test the relationship between categorical variables
    Test on the difference between two group means
    Test on differences between more than two group means
    Test the relationship between scale variables
    Predict a scale variable: Regression
    Introduction to Bayesian statistics
    Overview of multivariate procedures

    Audience

    Anyone who has worked with IBM SPSS Statistics and wants to become better versed in the basic statistical capabilities of IBM SPSS Statistics Base.
    Anyone who wants to refresh their knowledge and statistical experience.

    Prerequisites

    Familiarity with basic concepts in statistics, such as measurement levels, mean, and standard deviation.
    Familiarity with the windows in IBM SPSS Statistics either by experience with IBM SPSS Statistics (version 18 or later) or completion of the IBM SPSS Statistics Essentials (V25) course.

    Course topics

    1. Introduction to statistical analysis

    Identify the steps in the research process
    Principles of statistical analysisExamine individual variables
    Identify measurement levels
    Chart individual variables
    Summarize individual variables
    Examine the normal distribution
    Examine standardized scoresTest hypotheses about individual variables
    Identify population parameters and sample statistics
    Examine the distribution of the sample mean
    Determine the sample size
    Test a hypothesis on the population mean
    Construct a confidence interval for the population mean
    Tests on a single variable: One-Sample T Test, Paired-Samples T Test, and Binomial TestTest the relationship between categorical variables
    Chart the relationship between two categorical variables
    Describe the relationship: Compare percentages in Crosstabs
    Test the relationship: The Chi-Square test in Crosstabs
    Assumptions of the Chi-Square test
    Pairwise compare column proportions
    Measure the strength of the associationTest on the difference between two group means
    Compare the Independent-Samples T Test to the Paired-Samples T Test
    Chart the relationship between the group variable and scale variable
    Describe the relationship: Compare group means
    Test on the difference between two group means: Independent-Samples T Test
    Assumptions of the Independent-Samples T TestTest on differences between more than two group means
    Describe the relationship: Compare group means
    Test the hypothesis of equal group means: One-Way ANOVA
    Assumptions of One-Way ANOVA
    Identify differences between group means: Post-hoc testsTest the relationship between scale variables
    Chart the relationship between two scale variables
    Describe the relationship: Correlation
    Test on the correlation
    Assumptions for testing on the correlation
    Treatment of missing valuesPredict a scale variable: Regression
    What is linear regression?
    Explain unstandardized and standardized coefficients
    Assess the fit of the model: R Square
    Examine residuals
    Include 0-1 independent variables
    Include categorical independent variablesIntroduction to Bayesian statistics
    Bayesian statistics versus classical test theory
    Explain the Bayesian approach
    Evaluate a null hypothesis: Bayes Factor
    Bayesian procedures in IBM SPSS Statistics

    2. Overview of multivariate procedures

    Overview of supervised models
    Overview of models to create natural groupings

Направление IBM в HGK: системная подготовка специалистов по корпоративным ИТ-решениям.

Учебный центр Human Growth Kazakhstan (HGK) предлагает комплексную программу обучения по направлениям IBM, охватывающую ключевые области корпоративных ИТ-решений. Курсы ориентированы на подготовку специалистов, способных эффективно работать с продуктами и технологиями IBM в различных сферах, включая управление активами, информационную безопасность и аналитические системы.

 

Основные направления обучения:

  • IBM Maximo Asset Management: изучение возможностей и функций системы управления активами IBM Maximo, включая базовые концепции, настройку и эксплуатацию системы.
  • IBM FileNet Content Manager: обучение программированию с использованием Java API для работы с системой управления контентом IBM FileNet, включая разработку приложений и настройку компонентов.
  • IBM QRadar SIEM: освоение основ конфигурации, управления событиями и инцидентами, а также методов настройки правил и отчетов в системе информационной безопасности IBM QRadar SIEM.

 

Преимущества обучения в HGK:

  • Авторизованные программы IBM: курсы разработаны в соответствии с официальными стандартами IBM, обеспечивая актуальность и соответствие требованиям индустрии.
  • Практическая направленность: обучение включает лабораторные работы и практические задания, позволяя слушателям применять полученные знания в реальных сценариях.
  • Гибкие форматы обучения: доступны как очные, так и онлайн-форматы курсов, что позволяет выбрать наиболее удобный способ обучения.
  • Подготовка к сертификации: курсы готовят слушателей к сдаче сертификационных экзаменов IBM, подтверждающих профессиональные компетенции в области корпоративных ИТ-решений.

 

Обучение в HGK по направлениям IBM предоставляет слушателям комплексные знания и навыки, необходимые для успешной работы с современными корпоративными ИТ-решениями. Программы обучения подходят как для начинающих специалистов, так и для опытных инженеров, стремящихся повысить квалификацию и получить признанные в отрасли сертификаты.

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