MOC 20778 - Analyzing Data with Power BI

This course can be delivered live online, at your offices, or at any other location.

This 3-day Analyzing Data with Power BI training class gives students a good understanding of data analysis with Power BI. The course covers creating visualizations, the Power BI Service, and the Power BI Mobile App.

The primary audience for this course is SQL Server report creators who are interested in alternative methods of presenting data.

  Microsoft Certified Partner

Webucator is a Microsoft Certified Partner for Learning Solutions (CPLS). This class uses official Microsoft courseware and will be delivered by a Microsoft Certified Trainer (MCT).

Goals
  1. Learn to perform Power BI desktop data transformation.
  2. Learn to describe Power BI desktop modelling.
  3. Learn to create a Power BI desktop visualization.
  4. Learn to implement the Power BI service.
  5. Learn to describe how to connect to Excel data.
  6. Learn to describe how to collaborate with Power BI data.
  7. Learn to connect directly to data stores.
  8. Learn to describe the Power BI developer API.
  9. Learn to describe the Power BI mobile app.
Outline
  1. Introduction to Self-Service BI Solutions
    1. Introduction to business intelligence
    2. Introduction to data analysis
    3. Introduction to data visualization
    4. Overview of self-service BI
    5. Considerations for self-service BI
    6. Microsoft tools for self-service BI
    7. Lab: Exploring an Enterprise BI solution
      1. Viewing reports
      2. Creating a Power BI report
      3. Creating a Power BI dashboard
  2. Introducing Power BI
    1. Power BI
    2. The Power BI service
    3. Lab: Creating a Power BI dashboard
      1. Connecting to Power BI data
      2. Create a Power BI dashboard
  3. Power BI
    1. Using Excel as a data source for Power BI
    2. The Power BI data model
    3. Using databases as a data source for Power BI
    4. The Power BI service
    5. Lab: Importing data into Power BI
      1. Importing Excel files into Power BI
      2. Viewing reports from Excel files
  4. Shaping and Combining Data
    1. Power BI desktop queries
    2. Shaping data
    3. Combining data
    4. Lab: Shaping and combining data
      1. Shape power BI data
      2. Combine Power BI data
  5. Modelling data
    1. Relationships
    2. DAX queries
    3. Calculations and measures
    4. Lab: Modelling Data
      1. Create relationships
      2. Calculations
  6. Interactive Data Visualizations
    1. Creating Power BI reports
    2. Managing a Power BI solution
    3. Lab: Creating a Power BI report
      1. Connecting to Power BI data
      2. Building Power BI reports
      3. Creating a Power BI dashboard
  7. Direct Connectivity
    1. Cloud data
    2. Connecting to analysis services
    3. Lab: Direct Connectivity
      1. Direct connectivity from Power BI desktop
      2. Direct connectivity from the Power BI service
  8. Developer API
    1. The developer API
    2. Custom visuals
    3. Lab: Using the developer API
      1. Using custom visuals
  9. Power BI mobile app
    1. The Power BI mobile app
    2. Using the Power BI mobile app
    3. Power BI embedded
Class Materials

Each student in our Live Online and our Onsite classes receives a comprehensive set of materials, including course notes and all the class examples.

Class Prerequisites

Experience in the following is required for this Power Business Intelligence class:

  • Excellent knowledge of relational databases and reporting.
  • Some basic knowledge of data warehouse schema topology (including star and snowflake schemas).
  • Some exposure to basic programming constructs (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.

Training for your Team

Length: 3 Days
  • Private Class for your Team
  • Online or On-location
  • Customizable
  • Expert Instructors

Training for Yourself

$1,785.00 or 3 vouchers

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