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Introduction to Power BI Training

Course 1360

  • Duration: 3 days
  • Labs: Yes
  • Language: English
  • Level: Foundation

This Introduction to Power BI Training will give you all the skills you need to jump-start your Power BI journey. It discusses in depth the industry-recognized steps from raw data to detailed analysis via five main stages:

  • Loading data into Power BI from a wide range of data sources, such as CSV and XLS files
  • Transforming data using Data Analysis Expressions (DAX), M, and Power Query languages
  • Creating and extending a comprehensive data model with DAX
  • Visualizing data in Power BI desktop using built-in tools
  • Sharing and collaborating with the Power BI service or Power BI server

Introduction to Power BI Training Delivery Methods

  • In-Person

  • Online

Introduction to Power BI Training Information

In this course, you will:

  • Create interactive visualizations to deliver business insights.
  • Extract business intelligence by using DAX, M, and Power Query.
  • Share Datasets, Reports, and Dashboards in the Power BI Service.
  • Pre-format and import data from an Excel Report using Power Query and M.
  • Add value with measures, calculated columns, and calculated tables using DAX.
  • Import data from relational databases and integrate it with other data sources.
  • Profile, shape, and filter tables to prepare for analyses by fixing data issues.
  • Integrate data from CSV files and Excel Workbooks.
  • Explore and extend a Power BI data model.

Training Prerequisites

None.

Introduction to Microsoft Power BI Training Course Outline

  • Visual analysis and visual analytics
  • Power BI Infrastructure
  • Loading Data
  • Introduction to Power BI Desktop

Hands-On Exercise 1.1 Loading and Visualizing data

  • Using Power Query to clean, transform and load data
  • Profiling your data
  • Resolve data quality issues
  • Apply user-friendly names to Queries, tables, and columns
  • Import data from an Excel formatted report

Hands-On Exercise 2.1 Transforming Data with Power Query

Hands-On Exercise 2.2 Appending, Merging, and Combining Queries

  • Understand the role of the Data Model in Power BI
  • Create table relationships
  • Understand Cardinality and Cross Filtering
  • Discuss Star and Snowflake schema
  • Create a Date Dimension
  • Build a Data Model from multiple Data sources

Hands-On Exercise 3.1 Creating a Data Model

  • Discuss Report settings
  • Choosing the right visualizations
  • Creating, formatting, and styling your reports
  • Using Hierarchies and Drilldown
  • Utilizing Slicers and Filters
  • Adding Custom Visualizations

Hands-On Exercise 4.1 Creating Reports Part 1

Hands-On Exercise 4.2 Creating Reports Part 2

Hands-On Exercise 4.3 Creating Reports Part 3

  • Gain an Introduction to DAX
  • Differentiate between Calculated Columns and Measures
  • Create Calculated Columns
  • Create Measures
  • Understand Filter and Row context
  • Understand the power of the Calculate function

Hands-on Exercise 5.1 Introduction to DAX

Optional Hands-on Exercise 5.2 Intermediate Level DAX

  • Discuss the Power BI Service and Power BI Server
  • Understand the main components of the Power BI Service
  • Publish a Power BI Project to the Power BI Service
  • Share Reports
  • Build and Share Dashboards

Hands-On Exercise 6.1 Collaboration and Sharing in the Power BI Service

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  • 3-day instructor-led training course

  • After-course computing sandbox included

  • After-course coaching available

  • Learning Tree end-of-course exam included

#1360
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  • Mar 25 - 27 10:00 AM - 5:30 PM EDT
    Austin or Virtual
  • Mar 31 - Apr 2 9:00 AM - 4:30 PM EDT
    Washington, DC or Virtual

Scroll to view additional course dates

  • 3-day instructor-led training course

  • After-course computing sandbox included

  • After-course coaching available

  • Learning Tree end-of-course exam included

#1360
  • Guaranteed to Run - you can rest assured that the class will not be cancelled.
    Jun 4 - 6 9:00 AM - 4:30 PM EDT
    Virtual
  • Guaranteed to Run - you can rest assured that the class will not be cancelled.
    Jun 16 - 18 9:00 AM - 4:30 PM EDT
    Virtual
  • Jun 25 - 27 10:00 AM - 5:30 PM EDT
    Austin or Virtual
  • Guaranteed to Run - you can rest assured that the class will not be cancelled.
    Jul 9 - 11 9:00 AM - 4:30 PM EDT
    Washington, DC or Virtual
  • Jul 16 - 18 9:00 AM - 4:30 PM EDT
    Ottawa or Virtual
  • Jul 23 - 25 9:00 AM - 4:30 PM EDT
    New York or Virtual
  • Jul 30 - Aug 1 9:00 AM - 4:30 PM EDT
    Toronto or Virtual
  • Jul 30 - Aug 1 12:00 PM - 7:30 PM EDT
    San Francisco or Virtual
  • Aug 6 - 8 9:00 AM - 4:30 PM EDT
    Washington, DC or Virtual
  • Aug 13 - 15 9:00 AM - 4:30 PM EDT
    Herndon, VA or Virtual
  • Aug 20 - 22 10:00 AM - 5:30 PM EDT
    Austin or Virtual
  • Guaranteed to Run - you can rest assured that the class will not be cancelled.
    Aug 27 - 29 9:00 AM - 4:30 PM EDT
    Ottawa or Virtual
  • Sep 3 - 5 9:00 AM - 4:30 PM EDT
    Toronto or Virtual
  • Sep 10 - 12 9:00 AM - 4:30 PM EDT
    New York or Virtual
  • Sep 17 - 19 11:00 AM - 6:30 PM EDT
    Aurora, CO or Virtual
  • Guaranteed to Run - you can rest assured that the class will not be cancelled.
    Sep 24 - 26 9:00 AM - 4:30 PM EDT
    Washington, DC or Virtual
  • Oct 1 - 3 9:00 AM - 4:30 PM EDT
    Herndon, VA or Virtual
  • Oct 8 - 10 10:00 AM - 5:30 PM EDT
    Austin or Virtual
  • Oct 15 - 17 9:00 AM - 4:30 PM EDT
    Virtual
  • Oct 22 - 24 9:00 AM - 4:30 PM EDT
    Ottawa or Virtual
  • Oct 29 - 31 12:00 PM - 7:30 PM EDT
    Bellevue, WA or Virtual
  • Nov 5 - 7 9:00 AM - 4:30 PM EST
    Toronto or Virtual
  • Nov 12 - 14 9:00 AM - 4:30 PM EST
    New York or Virtual
  • Nov 19 - 21 11:00 AM - 6:30 PM EST
    Aurora, CO or Virtual
  • Nov 24 - 26 9:00 AM - 4:30 PM EST
    Herndon, VA or Virtual
  • Dec 3 - 5 10:00 AM - 5:30 PM EST
    Austin or Virtual
  • Dec 10 - 12 9:00 AM - 4:30 PM EST
    Washington, DC or Virtual
  • Dec 17 - 19 9:00 AM - 4:30 PM EST
    Ottawa or Virtual
  • Jan 7 - 9 9:00 AM - 4:30 PM EST
    Toronto or Virtual
  • Jan 14 - 16 9:00 AM - 4:30 PM EST
    New York or Virtual
  • Jan 28 - 30 9:00 AM - 4:30 PM EST
    Herndon, VA or Virtual
  • Feb 4 - 6 10:00 AM - 5:30 PM EST
    Austin or Virtual
  • Feb 11 - 13 9:00 AM - 4:30 PM EST
    Washington, DC or Virtual
  • Feb 18 - 20 9:00 AM - 4:30 PM EST
    Ottawa or Virtual
  • Feb 25 - 27 11:00 AM - 6:30 PM EST
    Aurora, CO or Virtual
  • Mar 4 - 6 9:00 AM - 4:30 PM EST
    New York or Virtual
  • Mar 11 - 13 9:00 AM - 4:30 PM EDT
    Toronto or Virtual
  • Mar 18 - 20 9:00 AM - 4:30 PM EDT
    Herndon, VA or Virtual
  • Mar 18 - 20 12:00 PM - 7:30 PM EDT
    San Francisco or Virtual
  • Mar 25 - 27 10:00 AM - 5:30 PM EDT
    Austin or Virtual
  • Mar 31 - Apr 2 9:00 AM - 4:30 PM EDT
    Washington, DC or Virtual

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Introduction to Power BI Training FAQs

There are no prerequisites for attending this course. However, it is recommended that participants have basic knowledge of Excel and data analysis.

The Introduction to Power BI Training Course is available in two delivery methods: in-person and online. In-person training is conducted in a physical classroom, while online training is conducted virtually through a video conferencing platform.

This course covers the following topics:

  • Power BI Overview
  • Transforming Data
  • Creating a Data Model
  • Visualizing Your Data
  • Introduction to DAX, Calculated Columns, and Measures
  • Collaboration and Sharing

Participants will also have the opportunity to engage in hands-on exercises that will reinforce the concepts covered in the course.

Throughout the course, you will access data from various data sources and create Reports using the in-built visuals. You will also be shown how to format those visuals for maximum effect and how to import custom visuals to extend your reporting capability. 

You will gain an introduction to the M and DAX languages and then publish your masterpiece to a workspace in the Power BI Service, creating Dashboards, sharing Reports and Dashboards with colleagues, and concluding with scheduling a data refresh.

The software and licenses used during the course will only be available for the duration of the training. However, participants will be provided with a Power BI license for a period of time after the training is complete.

By the end of the course, participants will have the skills necessary to load data into Power BI from a variety of sources, transform data using DAX, M, and Power Query languages, create and extend a comprehensive data model, visualize data in Power BI desktop using built-in tools, and share and collaborate with the Power BI service or Power BI server.

Participants will also be able to create interactive visualizations to deliver business insights and extract business intelligence by using DAX, M, and Power Query.

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