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20778: Analyzing Data with Power BI

 

20778: Analyzing Data with Power BI

Learn Power BI, a powerful cloud-based service that helps data scientists visualize and share insights from their data.

Key Features

  • Learn from anywhere in the world. Connect with an Instructor in real time.
  • Attend Live Class from a PC or Mobile.
  • Ask questions from an Instructor in real time over voice & chat.
  • Includes Certificate of Completion.
  • Official Exam & Certification Assitance.
  • Get 30 Days free after class support.

Select preferred Date & Time :

24 Augth
3 days
24 Aug - 26 Aug
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Time - 10:00 AM (EDT)
15 Septh
3 days
15 Sep - 17 Sep
Weekdays Batches
Time - 01:30 PM (EDT)
28 Septh
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28 Sep - 30 Sep
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Time - 04:30 PM (EDT)
04 Septh
3 days
04 Sep, 05 Sep, 06 Sep,
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Time - 10:30 AM ( EDT )
18 Septh
3 days
18 Sep, 19 Sep, 20 Sep,
Weekend Batches
Time - 09:30 PM ( EDT )
02 Octth
3 days
02 Oct, 03 Oct, 04 Oct,
Weekend Batches
Time - 08:00 PM (EDT)

Price Per Participant

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$299
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Course Description

About the Course

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.

 

This course is based on the objectives of the course version 20778B.

Course Curriculum

Course # : 20778
Exam : Analyzing Data with Power BI

20778: Analyzing Data with Power BI

Objectives

  • 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

Target Audience

  • The course will likely be attended by SQL Server report creators who are interested in alternative methods of presenting data.

Prerequisites

  • Required: An awareness of key business priorities such as revenue, profitability, and financial accounting is desirable
  • Required: Excellent knowledge of relational databases and reporting
  • Required: Familiarity with Microsoft Office applications – particularly Excel
  • Required: Some basic knowledge of data warehouse schema topology (including star and snowflake schemas)
  • Required: Some exposure to basic programming constructs (such as looping and branching)

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