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ANALYZING & VISUALIZING DATA WITH POWER BI

ANALYZING & VISUALIZING DATA WITH POWER BI

Συνοπτικό πρόγραμμα:

Προαπαιτούμενα:

  • Εξαιρετική γνώση σχεσιακών βάσεων δεδομένων και αναφοράς
  • Γνωριμία με τις εφαρμογές του Microsoft Office – ιδιαίτερα το Excel

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
  • Exploring an Enterprise BI solution
  • Viewing reports
  • Creating a Power BI report
  • Creating a Power BI dashboard

2. Introducing Power BI

  • Power BI
  • The Power BI service
  • Creating a Power BI dashboard
  • Connecting to Power BI data
  • Create a Power BI dashboard

3. Power BI

  • 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
  • Importing data into Power BI
  • Importing Excel files into Power BI
  • Viewing reports from Excel files

4. Shaping and Combining Data

  • Power BI desktop queries
  • Shaping data
  • Combining data
  • Lab : Shaping and combining data
  • Shape power BI data
  • Combine Power BI data

5. Modeling data

  • Relationships
  • DAX queries
  • Calculations and measures
  • Modeling Data
  • Create relationships
  • Calculations

6 Interactive Data Visualizations

  • Creating Power BI reports
  • Managing a Power BI solution
  • Creating a Power BI reportConnecting to Power BI data
  • Building Power BI reports
  • Creating a Power BI dashboard

7. Direct Connectivity

  • Cloud data
  • Connecting to analysis services
  • Direct Connectivity
  • Direct connectivity from Power BI desktop
  • Direct connectivity from the Power BI service

8.The developer API

  • The developer API
  • Custom visuals
  • Using the developer API
  • Using custom visuals

9. Power BI mobile app

  • Power BI mobile apps
  • Using the Power BI mobile app
  • Power BI embedded

Διάρκεια

20 ώρες

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