Analyzing Data with Power BI

Introduction

The main purpose of this three days 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

This course is intended to SQL Server report creators who are interested in alternative methods of presenting data.

Prerequisites

Before attending this course, participants should 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

At course completion

After completing this course, participants 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

Exams

This course prepare to the exam 70-778: Analyzing and Visualizing Data with Microsoft Power BI.

Course outline

Module 1: Introduction to Self-Service BI Solutions

Introduces business intelligence (BI) and how to self-serve with BI.

  • Lesson 1: Introduction to business intelligence
  • Lesson 2: Introduction to data analysis
  • Lesson 3: Introduction to data visualization
  • Lesson 4: Overview of self-service BI
  • Lesson 5: Considerations for self-service BI
  • Lesson 6: 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.

  • Lesson 1: Power BI
  • Lesson 2: 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.

  • Lesson 1: Using Excel as a data source for Power BI
  • Lesson 2: The Power BI data model
  • Lesson 3: Using databases as a data source for Power BI
  • Lesson 4: The Power BI service

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.

  • Lesson 1: Power BI desktop queries
  • Lesson 2: Shaping data
  • Lesson 3: Combining data

Module 5: Modeling data

This module describes how to shape and enhance data.

  • Lesson 1: Relationships
  • Lesson 2: DAX queries
  • Lesson 3: Calculations and measures

Module 6: Interactive Data Visualizations

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

  • Lesson 1: Creating Power BI reports
  • Lesson 2: Managing a Power BI solution

Module 7: Direct Connectivity

This module describes various connectivity options using Power BI.
 

  • Lesson 1: Cloud data
  • Lesson 2: Connecting to analysis services

Module 8: The Developer API

This module describes the developer API within Power BI.

  • Lesson 1: The developer API
  • Lesson 2: Custom visuals

Module 9: Power BI mobile app

This module describes the Power BI mobile app.

  • Lesson 1: Power BI mobile apps
  • Lesson 2: Using the Power BI mobile app
  • Lesson 3: Power BI embedded

Documentation

Official Microsoft courseware

Cursus de certification

N/A

Lab

Lab 1: Exploring an Enterprise BI solution

  • Viewing reports
  • Creating a Power BI report
  • Creating a Power BI dashboard

Lab 2: Creating a Power BI dashboard

  • Connecting to Power BI data
  • Create a Power BI dashboard

Lab 3: Importing data into Power BI

  • Importing Excel files into Power BI
  • Viewing reports from Excel files

Lab 4: Shaping and combining data

  • Shape power BI data
  • Combine Power BI data

Lab 5: Modelling Data

  • Create relationships
  • Calculations

Lab 6: Creating a Power BI report

  • Connecting to Power BI data
  • Building Power BI reports
  • Creating a Power BI dashboard

Lab 7: Direct Connectivity

  • Direct connectivity from Power BI desktop
  • Direct connectivity from the Power BI service

Lab 8: Using the developer API

  • Using custom visuals

Formations complémentaires

MS-20773: Analyzing Big Data with Microsoft R
MS-10990: Analyzing Data with SQL Server Reporting Services
MS-20467: Designing  Business Intelligence Solutions with Microsoft SQL Server 2014