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Analyzing Data with Power BI

  • Course Code:

    20778
  • Course Duration:

    3 Days
  • Course Price:

    $1500
  • Availability:

    Call/Email to register interest
  • Overview & ObjectivesOpen or Close

    About this course
    This two-day instructor-led course provides students with the knowledge and skills analyze data with Power BI.
    Audience profile
    The primary audience for this course is BI professionals who need to analyze data utilizing Power BI.
    The secondary audiences for this course are technically proficient business users.

  • Skills GainedOpen or Close
    At course completion After completing this course, students will be able to:
    • Describe key features of a self-service BI solution
    • Describe Power BI and its data sources
    • Model, shape, and combine data
    • Describe Power BI data visualizations
  • Course ModulesOpen or Close

    Course Outline

    Module 1: Introduction to Self-Service BI Solutions

    In this module students will be introduced to the key concepts in business intelligence, data analysis, and data visualization. In addition they will learn the rationale for self-service BI, considerations for using self-service BI, and how Microsoft products can be used to implement a self-service BI solution. Lessons

    • Introduction to business intelligence
    • Introduction to data analysis
    • Introduction to data visualization
    • Overview of self-service BI
    • Considerations of self-service BI
    • Microsoft tools for self-service BI

    Lab : Exploring an enterprise BI solution

    After completing this module, you will be able to:
    • Describe key concepts in business intelligence
    • Describe key concepts in data analysis
    • Describe key concepts in data visualization
    • Describe the rationale for self-service BI
    • Describe considerations for self-service BI
    • Describe how Microsoft products can be used to implement a self-service BI solution

    Module 2: Introducing Power BI

    • Power BI
    • The Power BI service
    • Power BI mobile apps

    Lab : Cresting a Power BI dashboardAfter completing this module, you will be able to:
    • Describe Power BI
    • Describe the Power BI Service
    • Implement Tenant Management
    • Describe Power BI mobile apps
    • Create a simple dashboard

    Module 3: Power BI Data

    • Using Excel as a Power BI data source
    • Using databases as a Power BI data source
    • The Power BI service

    Lab : Import data into Power BIAfter completing this module, you will be able to:
    • Use Excel as a Power BI data source
    • Use databases as a Power BI data source and describe the R language
    • Configure the Power BI Service

    Module 4: Shaping and Combining Data

    • Power BI desktop queries
    • Shaping data
    • Combining data

    Lab : Shaping and combining data

    After completing this module, you will be able to:
    • Create Power BI Desktop queries
    • Shape data
    • Combine data

    Module 5: Modelling Data

    • Relationships
    • DAX queries
    • Calculations and measures

    Lab : Modelling dataAfter completing this module, you will be able to:
    • Configure the Power BI Service
    • Create Relationships
    • Write simple DAX queries
    • Create calculations and measures

    Module 6: Interactive Data Visualizations 

    • Creating Power BI reports
    • Managing a Power BI solution

    Lab : Creating a Power BI reportAfter completing this module, you will be able to:
    • Use Power BI Desktop to create interactive data visualizations
    • Describe the management of a Power BI solution

  • PrerequisitesOpen or Close
    It is preferable that you meet the following prerequisites:
    • Basic knowledge of the Microsoft Windows operating system and its core functionality.
    • Basic knowledge of data warehouse schema topology.
    • Some exposure to basic programming concepts.
    • An awareness of key business priorities such as revenue, profitability, and financial accounting is desirable.
    • Familiarity with Microsoft Office applications – particularly Excel.
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