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Course 20778: Analysing Data with Power BI

Duration: 90-days online access
ILT Classroom: 3 days
Audience: Information Workers
Certification: MCSA
Exam: 70-778
Level: 200

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Overview

About this course
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.

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

At course completion
After completing this 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.

Pre-requisites
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.

Course Outline

  • Module 1: Introduction to Self-Service BI Solutions
    Introduces business intelligence (BI) and how to self-serve with BI.
    - 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
  • 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.
    - Power BI
    - The Power BI service
  • Module 3: Power BI
    At the end of this module students will be able to explain the rationale and advantages of using Power BI.
    - 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
  • Module 4: Shaping and Combining Data
    With Power BI desktop you can shape and combine data with powerful, built-in tools. This module introduces the tools that are available for preparing your data, and transforming it into a form ready for reporting.
    - Power BI desktop queries
    - Shaping data
    - Combining data
  • Module 5: Modelling data
    This module describes how to shape and enhance data.
    - Relationships
    - DAX queries
    - Calculations and measures
  • Module 6: Interactive Data Visualisations
    This module describes how to create and manage interactive data visualizations.
    - Creating Power BI reports
    - Managing a Power BI solution
  • Module 7: Direct Connectivity
    This module describes various connectivity options using Power BI.
    - Cloud data
    - Connecting to analysis services
  • Module 8: Developer API
    This module describes the developer API within Power BI.
    - The developer API
    - Custom visuals
  • Module 9: Power BI mobile app
    This module describes the Power BI mobile app.
    - The Power BI mobile app
    - Using the Power BI mobile app
    - Power BI embedded

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