Analysing Data with Power BI Training (20778)

Level: Intermediate
Rating: 4/5 4.05/5 Based on 209 Reviews

This official Microsoft Analysing Data with Power BI (20778) course provides a comprehensive understanding of how to analyse data with Power BI. The course includes creating visualisations, the Power BI Service, and the Power BI Mobile App.

Plus, this course will prepare you for Microsoft exam 70-778, a core requirement for the MCSA: BI Reporting certification.

Key features of this Analysing Data with Power BI Training:

You Will Learn How To:

  • Perform Power BI desktop data transformation
  • Describe Power BI desktop modelling
  • Create a Power BI desktop visualisation
  • 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

Choose the Training Solution That Best Fits Your Individual Needs or Organisational Goals

ON DEMAND

On Demand + Instructor Coaching

  • The same high quality MOC content as the live event
  • Flexibility to take the course on your own time, at your own pace
  • Enjoy a blend of video, text, hands-on labs, and knowledge checks with on demand training
  • Forever access to the digital course materials – including future course content updates
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Standard £575

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LIVE, INSTRUCTOR-LED

In Class & Live, Online Training

  • 3-day instructor-led training course
  • One-on-one after-course instructor coaching
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Standard £995

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PRODUCT #8430

TRAINING AT YOUR SITE

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  • Blended learning models
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  • Expert team coaching
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Save More on Training with Learning Tree Training Vouchers!

Our flexible, easy-to-redeem training vouchers are available to any employee within your organisation. For details, please call 0800 282 353 or chat live.

On Demand + Instructor Coaching

Analysing Data with Power BI On-Demand Training Information

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)
  • NOTE: Only live, in-class training is eligible for NASBA CPEs; on-demand training is not eligible for CPE credit

In Class & Live, Online Training

Note: This course runs for 3 Days

  • 11 - 13 Sep 9:00 AM - 4:30 PM BST London / Online (AnyWare) London / Online (AnyWare) Reserve Your Seat

  • 16 - 18 Dec 9:00 AM - 4:30 PM GMT London / Online (AnyWare) London / Online (AnyWare) Reserve Your Seat

  • 10 - 12 Feb 9:00 AM - 4:30 PM BST London / Online (AnyWare) London / Online (AnyWare) Reserve Your Seat

  • 11 - 13 May 9:00 AM - 4:30 PM BST London / Online (AnyWare) London / Online (AnyWare) Reserve Your Seat

  • 4 - 6 Sep 2:00 PM - 9:30 PM BST Herndon, VA / Online (AnyWare) Herndon, VA / Online (AnyWare) Reserve Your Seat

  • 11 - 13 Dec 2:00 PM - 9:30 PM GMT New York / Online (AnyWare) New York / Online (AnyWare) Reserve Your Seat

  • 4 - 6 Mar 2:00 PM - 9:30 PM GMT Herndon, VA / Online (AnyWare) Herndon, VA / Online (AnyWare) Reserve Your Seat

  • 10 - 12 Jun 2:00 PM - 9:30 PM BST New York / Online (AnyWare) New York / Online (AnyWare) Reserve Your Seat

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Important Analysing Data with Power BI 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
  • Redeem Your Microsoft Training Vouchers (SATV):

Analysing Data with Power BI 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 visualisation
    • 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 visualisations 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 visualisations.

    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 licencing 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 optimise 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: Modelling data

    This module describes how to shape and enhance data.

    Lessons

    • Relationships
    • DAX queries
    • Calculations and measures

    Lab : Modelling 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 Visualisations

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

    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 visualisations.
    • 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.

Team Training

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
  • Redeem Your Microsoft Training Vouchers (SATV):

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 visualisation
    • 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 visualisations 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 visualisations.

    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 licencing 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 optimise 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: Modelling data

    This module describes how to shape and enhance data.

    Lessons

    • Relationships
    • DAX queries
    • Calculations and measures

    Lab : Modelling 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 Visualisations

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

    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 visualisations.
    • 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.

Analysing Data with Power BI Training FAQs

  • Can I use SATVS to take this Analysing Data with Power BI course?

    This course is eligible for Microsoft Software Assurance Training Voucher (SATV) redemption.

  • Which Microsoft exam does this Power BI course prepare me for?

    This course prepares you for Microsoft Exam 70-778, Analysing and Visualising Data with Microsoft Power BI.

  • Is this training part of a Microsoft MCSA certification path?

    Yes, this course provides credit towards MCSA and MCP certification path.

Questions about which training is right for you?

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