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Microsoft Power BI Desktop (now with live online classes)

Small groups max 4 attendees, Trainer led Live online classes and 1 year email support

MS Office Training Ltd


£750 inc VAT
Finance options

Live online classes - £550 for 2 day training

Classroom training - £650 for 2 days...

Study method
2 days · Part-time or full-time
No formal qualification
Additional info
  • Tutor is available to students

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Location & dates

167 City Road, London, Greater London,
City Road
City of London
United Kingdom


This course will allow you to explore the potential of self-service business intelligence using Power BI Desktop to analyse and connect to different sources of data, creating Relationships between those different datasets, Query the data using Shaping and data Modelling, to create Visualizations, and publish Reports to different platforms

Course Objectives

At the end of this course you will be able to:

  • Connect to data from different sources.
  • Use the Query Editor
  • Perform Power BI desktop data Shaping and Transformation.
  • Create Power BI desktop Modelling.
  • Create Power BI desktop Visualizations and Reports.

' 1 year email support service

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With more than 20 years experience, we deliver courses on all levels of the Desktop version of Microsoft Office and Office 365; ranging from Beginner, Intermediate, Advanced to the VBA level and Business Intelligence.

Our trainers are Microsoft certified professionals with a proven track record with several years experience in delivering public, one to one, tailored and bespoke course

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Introduction to Power BI

  • Power BI Jargon explained
  • A quick look at Power BI Desktop
  • A quick look at the Power BI service
  • Helpful resources

Power BI and Excel

  • Introduction to using Excel data in Power BI
  • Upload Excel data to Power BI
  • Import Power View and Power Pivot to Power BI

Getting started with Power BI Desktop

  • Overview of Power BI Desktop
  • Accessing Help and Helpful resources
  • Connect to data sources in Power BI Desktop

Shaping and Transforming Data with Query Editor

  • Introduction to the Query Editor
  • Data Sources Power BI Desktop can Connect to
  • Introduction to Steps and M code
  • Combining Data Using Merge and Append Queries
  • Data Type Properties
  • Working with Delimiters
  • Clean and transform your data with the Query Editor
  • Text Specific Transformation Tools
  • Number Specific Transformation Tools
  • Date Specific Transformation Tools
  • Split and Merge columns
  • Creating an Index Column
  • Adding Conditional Columns
  • Columns From Examples
  • Grouping and Aggregating data
  • Pivoting and Unpivoting
  • Using filters

Modeling the data

  • Introduction to modeling your data
  • How to manage your data relationships
  • Create calculated columns
  • Optimizing data models
  • Create calculated measures
  • Show Values As and Quick Measures
  • Create calculated tables
  • Explore your time-based data
  • Introduction to DAX
  • DAX calculation types
  • DAX functions


  • Introduction to visuals in Power BI
  • Create and customize simple visualizations
  • Modify colors in charts and visuals
  • Shapes, text boxes, and images
  • Page layout and formatting
  • Group interactions among visualizations
  • Visual hierarchies and drill-down
  • Using custom visualizations
  • Create a KPI Visualization
  • Geo-Data and Maps

Reports, Publishing and Sharing

  • Introduction to the Power BI service
  • Quick insights in Power BI
  • Create and configure a dashboard
  • Ask questions of your data with natural language
  • Create custom Q&A suggestions
  • Share dashboards with your organization
  • Introduction to content packs, security, and groups
  • Publish Power BI Desktop reports
  • Print and export dashboards and reports
  • Create groups in Power BI
  • Use content packs
  • Update content packs
  • Publish to web

Who is this course for?

This course facilitates you with knowledge on the potential for Power BI Desktop to analyse and connect to different sources of data, creating Relationships between those different datasets, Query the data using Shaping and data Modelling, and to create Visualisations, and publish Reports to different platforms.


Before attending this course, delegates should have:
- A general knowledge of database concepts (fields, records and relationships)
- Familiarity with Excel.

Career path

Business Intelligence

Data Analysis

ETL & Data Warehousing

Questions and answers


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Study method describes the format in which the course will be delivered. At Reed Courses, courses are delivered in a number of ways, including online courses, where the course content can be accessed online remotely, and classroom courses, where courses are delivered in person at a classroom venue.

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An endorsed course is a skills based course which has been checked over and approved by an independent awarding body. Endorsed courses are not regulated so do not result in a qualification - however, the student can usually purchase a certificate showing the awarding body's logo if they wish. Certain awarding bodies - such as Quality Licence Scheme and TQUK - have developed endorsement schemes as a way to help students select the best skills based courses for them.