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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:
    • 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

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Course Outline

  • Module 1: Introduction to Self-Service BI Solutions

Introduces business intelligence (BI) and how to self-serve with BI.

Lessons

  • 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

Lab : Exploring an Enterprise BI solution

  • Viewing reports
  • Creating a Power BI report
  • Creating a Power BI dashboard

After completing this module, students will be able to:

  • Describe the trends in BI
  • Describe the process of data analysis in Power BI.
  • Use the key visualizations in Power BI.
  • Describe the rationale for self-service BI.
  • Describe considerations for self-service BI.
  • Understand how you can use Microsoft products to implement a BI solution.
  • Module 2: Introducing Power BI

This module introduces Power BI desktop, and explores the features that enable the rapid creation and publication of sophisticated data visualizations.

Lessons

  • Power BI
  • The Power BI service

Lab : Creating a Power BI dashboard

  • Connecting to Power BI data
  • Create a Power BI dashboard

After completing this module, students will be able to:

  • Develop reports using the Power BI Desktop app.
  • Use report items to create dashboards on the Power BI portal.
  • Understand the components of the Power BI service including licensing and tenant management.
  • Module 3: Power BI

At the end of this module students will be able to explain the rationale and advantages of using Power BI.

Lessons

  • 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

Lab : Importing data into Power BI

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

After completing this module, students will be able to:

  • Describe the data model and know how to optimize data within the model.
  • Connect to Excel files and import data
  • Use on-premises and cloud Microsoft SQL Server databases as a data source, along with the R script data connector
  • Take advantage of the features of the Power BI service by using Q&A to ask questions in natural query language, and create content packs and groups.
  • Module 4: Shaping and Combining Data

With Power BI desktop you can shape and combine data with powerful, buil-in tools. This module introduces the tools that are available for preparing your data, and transforming it into a form ready for reporting.

Lessons

  • Power BI desktop queries
  • Shaping data
  • Combining data

Lab : Shaping and combining data

  • Shape power BI data
  • Combine Power BI data

After completing this module, students will be able to:

  • Perform a range of query editing skills in Power BI
  • Shape data, using formatting and transformations.
  • Combine data together from tables in your dataset.
  • Module 5: Modeling data

This module describes how to shape and enhance data.

Lessons

  • Relationships
  • DAX queries
  • Calculations and measures

Lab : Modeling Data

  • Create relationships
  • Calculations

After completing this module, students will be able to:

  • Describe relationships between data tables.
  • Understand the DAX syntax, and use DAX functions to enhance your dataset.
  • Create calculated columns, calculated tables and measures.
  • Module 6: Interactive Data Visualizations

This module describes how to create and manage interactive data visualizations.

Lessons

  • Creating Power BI reports
  • Managing a Power BI solution

Lab : Creating a Power BI report

  • Connecting to Power BI data
  • Building Power BI reports
  • Creating a Power BI dashboard

After completing this module, students will be able to:

  • Use Power Bi desktop to create interactive data visualizations.
  • Manage a power BI solution.
  • 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:

  • Use Power BI direct connectivity to access data in Azure SQL data warehouse, in addition to big data sources such as Hadoop
  • Use Power BI with SQL Server Analysis Services data, including Analysis services modles running in multidimentional mode.
  • Module 8: The 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

  • Power BI mobile apps
  • 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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On Demand + Instructor Coaching
Tuition — $1195

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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Tuition

Standard

Government

In Classroom or
Online

Standard

$2745

Government

$2415

On Demand

$1195*

Private Team Training

Contact Us »

*prices exclude applicable taxes


Course Tuition 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 Course Hours: 9:00 am – 4:30 pm
*Informal discussion with instructor about your projects or areas of special interest: 4:30 pm – 5:30 pm

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