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Analyzing Data with Power BI (20778)

COURSE TYPE

Intermediate

Course Number

8430

Duration

3 Days

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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 is a Microsoft Official Course (MOC) delivered by a Learning Tree expert instructor.

This course is part of a Microsoft Certification Path and can help you prepare for your MCSA Certification, MCSE Certification, or MCSD Certification.

You Will Learn How 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

Important Course Information

Requirements:

  • Before attending this course, students must have:
    • 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

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Course Outline

  • Module 1: Power BI Desktop Data Transformations

This module describes how to import data into Power BI.

Lessons

  • What is Power BI?
  • Power BI data
  • Transformations

Lab : Import Data to Power BI

  • Import data to Power BI desktop
  • Import data from CSV files
  • Import data from a less structured file

After completing this module, students will be able to:

  • Describe what Power BI is and what it does.
  • Describe the types of data.
  • Perform data transformations.
  • Module 2: Power BI Desktop Modeling

This module introduces Power BI desktop modeling.

Lessons

  • Optimizing data models
  • Calculations
  • Hierarchies

Lab : Manage Power BI data

  • Manage table relationships
  • Last year comparison
  • Year to date
  • Market share
  • Optimize the data model

After completing this module, students will be able to:

  • Optimize data models.
  • Perform calculations with Power BI data.
  • Describe and create hierarchies.
  • Module 3: Power BI Desktop Visualization

At the end of this module students will be able to create a Power BI desktop visualization.

Lessons

  • Visualizing your data
  • Working with multiple visualizations

Lab : Create reports with visualizations

  • Cross-tabular reports
  • Part-to-Whole reports
  • Relationship reports
  • Trend reports
  • Rank reports

After completing this module, students will be able to:

  • Visualize data using Power BI
  • Work with multiple visualizations.
  • Module 4: Power BI Service

This module describes how to implement the Power BI service.

Lessons

  • Working with the Power BI service
  • Configuring a dashboard
  • Viewing a Power BI Dashboard

Lab : Implementing the Power BI service

  • Upload a Power BI report
  • Share a Power BI dashboard
  • Configure data refresh

After completing this module, students will be able to:

  • Work with the Power BI service.
  • Configure a Power BI dashboard.
  • View a Power BI dashboard.
  • Module 5: Working with Excel

This module describes how to connect to Excel as a source of data.

Lessons

  • Importing data from excel
  • Analyzing data in Excel

Lab : Working with Excel

  • Uploading an Excel file with an Excel table
  • Uploading an Excel file with a data model

After completing this module, students will be able to:

  • Import data from excel.
  • Analyze data in Excel.
  • Module 6: Organization Content Packs, Security, and groups

This module describes how to collaborate with Power BI data.

Lessons

  • Collaboration
  • Content packs

Lab : Working with Organization Content Packs

  • Create a content pack
  • Edit a content pack
  • Share a content pack

After completing this module, students will be able to:

  • Share data for collaborative purposes.
  • Create, edit, and share content packs.
  • Module 7: Direct Connectivity

This module describes various connectivity options using Power BI.

Lessons

  • Cloud data
  • Connecting to analysis services

Lab : Direct Connectivity

  • Direct connectivity from Power BI desktop
  • Direct connectivity from the Power BI service

After completing this module, students will be able to:

  • Access data in SQL Azure.
  • Connect to SQL Server Analysis Services.
  • Module 8: Developer API

This module describes the developer API within Power BI.

Lessons

  • The developer API
  • Custom visuals

Lab : Using the developer API

  • Using custom visuals

After completing this module, students will be able to:

  • Describe the developer API.
  • Use the developer API to create custom visuals.
  • Module 9: Power BI mobile app

This module describes the Power BI mobile app.

Lessons

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

After completing this module, students will be able to:

  • Describe the Power BI mobile app.
  • Download and use the Power BI mobile app.
  • Describe Power BI embedded and when you would want to use it.
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Hassle-Free Enrolment: No advance payment required to reserve your seat.
Tuition Fee due 30 days after you attend your course.

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With a blend of video, text, hands-on labs, and knowledge checks, you will receive the same high quality content as the live event, but you can attend on your own time, at your own pace.

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Private Team Training

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Tuition Fee — Standard: £1495  

21 - 23 Feb (3 Days)
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20 - 22 Jun (3 Days)
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24 - 26 Oct (3 Days)
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AFTERNOON START: Attend these live courses online via Anyware

20 - 22 Dec (3 Days)
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3 - 5 Jan (3 Days)
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9 - 11 May (3 Days)
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27 - 29 Jun (3 Days)
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On Demand + Instructor Coaching
Tuition Fee — £575

With a blend of video, text, hands-on labs, and knowledge checks, you will receive the same high quality content as the live event, but you can attend on your own time, at your own pace.

PLUS, we include access to a Microsoft Certified Trainer (MCT) to help you prepare for your certification exam and help you apply your new skills immediately… Learning Tree knows how to bring learning to life!

  • Flexibility to take the course on your own time, at your own pace
  • Forever access to the digital course materials – for any refreshers
  • You will receive a code with your purchase. The code may be redeemed for online access to this On Demand course for up to six months
  • Upon course activation, the MOC On Demand videos and labs are available for three months
  • 2 FREE hours of individual coaching from an MCT Learning Tree Instructor
  • This delivery is also eligible for Microsoft Assurance Training Vouchers (SATVs)

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For enrolling multiple subscribers at the same time, contact us »

Private Team Training

Enroling at least 3 people in this course? Consider bringing this (or any course that can be custom designed) to your preferred location as a private team training.

For details, call 0800 282 353 or Click here »

Tuition Fee

Standard

In Classroom or
Online

Standard

£1495

On Demand

£575*

Private Team Training

Contact Us »

*prices exclude applicable taxes


Course Tuition Fee Includes:

After-Course Instructor Coaching
When you return to work, you are entitled to schedule a free coaching session with your instructor for help and guidance as you apply your new skills.

After-Course Computing Sandbox
You'll be given remote access to a preconfigured virtual machine for you to redo your hands-on exercises, develop/test new code, and experiment with the same software used in your course.
Note: The Sandbox is not available for the On-Demand option.

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Training Hours

Standard class hours:
9:00 a.m. - 4:30 p.m.

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