M20778 Analysing Data with Power BI

M20778

The main purpose of this 3 day training course is to give students a good understanding of data analysis with Microsoft Power BI. The course includes Data transformations, creating visualizations, the Power BI Service, working with Excel and the Power BI Mobile App.

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Audience profile:

The course will likely be attended by SQL Server report creators who are interested in alternative methods of presenting data. 

Learning Outcomes:

After completing this Power BI course, students will be able 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.

Prerequisites:

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

Module 1: Power BI Desktop Data Transformations
This module describes how to import fata 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

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

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

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

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

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

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

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

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

£ 1,395.00 ex.vat

Data sheet

Course Duration 3 Days
Location Various