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Analyzing Data with Power BI

3 nap
239 000 Ft + ÁFA
tanfolyamkezdési időpontok:

A tanfolyam célja

This three-day instructor-led course provides students with the knowledge and skills to analyze data with Power BI.

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.

Level: Intermediate
This Revision: C
First published: 14 June 2019


  • 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
  • Module 2: Introducing Power BI
    • Power BI
    • The Power BI Service
  • 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
  • Module 4: Shaping and Combining Data
    • Power BI Desktop Queries
    • Shaping Data
    • Combining Data
  • Module 5: Modeling Data
    • Relationships
    • DAX Queries
    • Calculations and Measures
  • Module 6: Interactive Data Visualizations
    • Creating Power BI Reports
    • Managing a Power BI Solution
  • Module 7: Direct Connectivity
    • Cloud Data
    • Connecting to Analysis Services
  • Module 8: The Developer API
    • The Developer API
    • Custom Visuals
  • Module 9: Power BI Mobile
    • Power BI Mobile Apps
    • Using the Power BI Mobile App
    • Power BI Embedded

Kinek ajánljuk


In addition to their professional experience, students who attend this training should already have the following technical knowledge:

  • 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.

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