Analyzing Data with Power BI - 20778 Course Outline
*** WARNING: High Volume Class, Sign Up Early ***
Power BI is one of our most popular products. A green flag beside a date on the right means that a session has met the minimum enrollment levels and is running. However, it is common for dates for this course to fill weeks in advance. Even if a date has a green flag, you might not be able to get into that session if it is full. To avoid disappointment, it is best to register for this class at least three weeks in advance.
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. This course uses Power BI Desktop, the Power BI cloud-based service and Excel 2016.
The course will likely be attended by report creators who are interested in alternative methods of presenting data.
Before attending this course, students should have a general understanding of relational databases and reporting. 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, 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.
Module 1: Power BI Desktop Data Transformations
This module describes how to import data into Power BI.
What is Power BI?
Power BI data
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.
Optimizing data models
Lab : Manage Power BI data
Manage table relationships
Last year comparison
Year to date
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.
Visualizing your data
Working with multiple visualizations
Lab : Create reports with visualizations
Module 4: Power BI Service
This module describes how to implement the Power BI service.
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.
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.
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.
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.
The developer API
Lab : Using the developer API
Using 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
View outline in Word