Analyzing Data with Power BI

20778C - Version:1
This three-day instructor-led course provides students with the knowledge and skills to analyze data with Power BI.
Intended audience
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.
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  • Module 1: Introduction to Self-Service BI Solutions
    • Introduction to Business Intelligence
    • Introduction to Data Analysis
    • Introduction to Data Visualization
    • Overview of Self-Service BI
    • Considerations for Self-Service BI
    • Microsoft Tools for Self-Service BI
    • Lab : Exploring an Enterprise BI Solution
  • Module 2: Introducing Power BI
    • Power BI
    • The Power BI Service
    • Lab : Creating a Power BI Dashboard
  • Module 3: Power BI Data
    • Using Excel as a Data Source for Power BI
    • The Power BI Data Model
    • Using Databases as a Data Source for Power BI
    • The Power BI Service
    • Lab : Importing Data into Power BI
  • Module 4: Shaping and Combining Data
    • Power BI Desktop Queries
    • Shaping Data
    • Combining Data
    • Lab : Shaping and Combining Data
  • Module 5: Modeling Data
    • Relationships
    • DAX Queries
    • Calculations and Measures
    • Lab : Modeling Data
  • Module 6: Interactive Data Visualizations
    • Creating Power BI Reports
    • Managing a Power BI Solution
    • Lab : Creating a Power BI Report
  • Module 7: Direct Connectivity
    • Cloud Data
    • Connecting to Analysis Services
    • Lab : Direct Connectivity
  • Module 8: The Developer API
    • The Developer API
    • Custom Visuals
    • Lab : Using the Developer API
  • Module 9: Power BI Mobile
    • Power BI Mobile Apps
    • Using the Power BI Mobile App
    • Power BI Embedded
  • Basic knowledge of the Microsoft Windows operating system and its core functionality.
  • Basic knowledge of data warehouse schema topology (including star and snowflake schemas).
  • Some exposure to basic programming concepts (such as looping and branching).
  • An awareness of key business priorities such as revenue, profitability, and financial accounting is desirable.
  • Familiarity with Microsoft Office applications – particularly Excel.
  • Describe self-service BI.
  • Describe the Power BI suite of products.
  • Connect to data sources and optimize data models.
  • Shape and combine data from different sources.
  • Model data.
  • Create reports and manage solutions.
  • Describe the Power BI developer API.
  • Describe the Power BI mobile app.