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.