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Analyzing Data with Power BI (20778)

 

Prerequisites

Before attending this course, students must have:

  • 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.

Course Objectives

The main purpose of the course is to give students a good understanding of data analysis with Power BI. The course includes creating visualizations, the Power BI Service, and the Power BI Mobile App.

After completing this course, students will be able to:

  • Perform Power BI desktop data transformation.
  • Describe Power BI desktop modelling.
  • Create a Power BI desktop visualization.
  • Implement the Power BI service.
  • Describe how to connect to Excel data.
  • Describe how to collaborate with Power BI data.
  • Connect directly to data stores.
  • Describe the Power BI developer API.
  • Describe the Power BI mobile app.

Course Content

  • Module 1: Power BI Desktop Data Transformations
  • Module 2: Power BI Desktop Modeling
  • Module 3: Power BI Desktop Visualization
  • Module 4: Power BI Service
  • Module 5: Working with Excel
  • Module 6: Organization Content Packs, Security, and groups
  • Module 7: Direct Connectivity
  • Module 8: Developer API
  • Module 9: Power BI mobile app
Online Training
Modality: L

Duration 3 days

Price (excl. tax)
  • Eastern Europe: 960.- €
  • SA Voucher: 3
    hardcoded default SA
Classroom Training
Modality: C

Duration 3 days

Price (excl. tax)
  • Eastern Europe: 960.- €
  • SA Voucher: 3
    hardcoded default SA
 

Schedule

English
Time zone Central European Summer Time (CEST)
Online Training Time zone: Central European Summer Time (CEST)
1 hour difference
Online Training Time zone: Eastern European Summer Time (EEST)
Online Training Time zone: Eastern European Time (EET)
Instructor-led Online Training:   This computer icon in the schedule indicates that this date/time will be conducted as Instructor-Led Online Training.