Analyzing Data with Power BI

Course 20778A: 3 Day; Instructor-led

 

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.

 

 

Prerequisites

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.

Lessons

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

Lab : Exploring an Enterprise BI solution

Viewing reports

Creating a Power BI report

Creating a Power BI dashboard

After completing this module, students will be able to:

Describe the trends in BI

Describe the process of data analysis in Power BI.

Use the key visualizations in Power BI.

Describe the rationale for self-service BI.

Describe considerations for self-service BI.

Understand how you can use Microsoft products to implement a BI solution.

 

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.

Lessons

Power BI

The Power BI service

Lab : Creating a Power BI dashboard

Connecting to Power BI data

Create a Power BI dashboard

After completing this module, students will be able to:

Develop reports using the Power BI Desktop app.

Use report items to create dashboards on the Power BI portal.

Understand the components of the Power BI service including licensing and tenant management.

Module 3: Power BI

At the end of this module students will be able to explain the rationale and advantages of using Power BI.

Lessons

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

Lab : Importing data into Power BI

Importing Excel files into Power BI

Viewing reports from Excel files

After completing this module, students will be able to:

Describe the data model and know how to optimize data within the model.

Connect to Excel files and import data

Use on-premises and cloud Microsoft SQL Server databases as a data source, along with the R script data connector

Take advantage of the features of the Power BI service by using Q&A to ask questions in natural query language, and create content packs and groups.

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.

Lessons

Power BI desktop queries

Shaping data

Combining data

Lab : Shaping and combining data

Shape power BI data

Combine Power BI data

After completing this module, students will be able to:

Perform a range of query editing skills in Power BI

Shape data, using formatting and transformations.

Combine data together from tables in your dataset.

Module 5: Modelling data

This module describes how to shape and enhance data.

Lessons

Relationships

DAX queries

Calculations and measures

Lab : Modelling Data

Create relationships

Calculations

After completing this module, students will be able to:

Describe relationships between data tables.

Understand the DAX syntax, and use DAX functions to enhance your dataset.

Create calculated columns, calculated tables and measures.

 

Module 6: Interactive Data Visualizations

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

Lessons

Creating Power BI reports

Managing a Power BI solution

Lab : Creating a Power BI report

Connecting to Power BI data

Building Power BI reports

Creating a Power BI dashboard

After completing this module, students will be able to:

Use Power Bi desktop to create interactive data visualizations.

Manage a power BI solution.

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

After completing this module, students will be able to:

Use Power BI direct connectivity to access data in Azure SQL data warehouse, in addition to big data sources such as Hadoop

Use Power BI with SQL Server Analysis Services data, including Analysis services modles running in multidimentional mode.

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

After completing this module, students will be able to:

Describe the developer API.

Use the developer API to create 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

After completing this module, students will be able to:

Describe the Power BI mobile app.

Download and use the Power BI mobile app.

Describe Power BI embedded and when you would want to use it.