Welcome to ONLC Training Centers
Welcome to ONLC Training Centers

Analyzing Data with Power BI - 10989 Course Outline

 (2 days)

This two-day instructor-led course provides students with the knowledge and skills analyze data with Power BI. Because this is a Microsoft-developed and authorized course, organizations can use Software Assurance Vouchers for payment.

Audience profile
The primary audience for this course is BI professionals who need to analyze data utilizing Power BI.
The secondary audiences for this course are technically proficient business users.

This course requires that you meet the following prerequisites:
Basic knowledge of the Microsoft Windows operating system and its core functionality.
Basic knowledge of data warehouse schema topology (including star and snowflake schemas).
Some exposure to basic programming concepts (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.
These prerequisites can be achieved by attending courses
20761A Querying Data with Transact-SQL
20767A - Implementing a SQL Server Data Warehouse

At course completion
After completing this course, students will be able to:
Describe key features of a self-service BI solution
Describe Power BI and its data sources
Model, shape, and combine data
Describe Power BI data visualizations

Course Outline

Module 1: Introduction to Self-Service BI Solutions
In this module students will be introduced to the key concepts in business intelligence, data analysis, and data visualization. In addition they will learn the rationale for self-service BI, considerations for using self-service BI, and how Microsoft products can be used to implement a self-service BI solution.
Introduction to business intelligence
Introduction to data analysis
Introduction to data visualization
Overview of self-service BI
Considerations of self-service BI
Microsoft tools for self-service BI
Lab : Exploring an enterprise BI solution

Module 2: Introducing Power BI
This module introduces Power BI.
Power BI
The Power BI service
Power BI mobile apps
Lab : Cresting a Power BI dashboard

Module 3: Power BI Data
This module describes Power BI data sources.
Using Excel as a Power BI data source
Using databases as a Power BI data source
The Power BI service
Lab : Import data into Power BI

Module 4: Shaping and Combining Data
This module describes how to shape and combine data.
Power BI desktop queries
Shaping data
Combining data
Lab : Shaping and combining data

Module 5: Modelling Data
This module describes how to model data in Power BI.
DAX queries
Calculations and measures
Lab : Modelling data

Module 6: Interactive Data Visualizations
This module describes Power BI visualizations.
Creating Power BI reports
Managing a Power BI solution
Lab : Creating a Power BI report

View outline in Word


Attend hands-on, instructor-led Analyzing Data with Power BI - 10989 training classes at ONLC's more than 300 locations. Not near one of our locations? Attend these same live classes from your home/office PC via our Remote Classroom Instruction (RCI) technology.

For additional training options, check out our list of Courses and select the one that's right for you.

Microsoft Gold Partner
Class Dates
(click date for class times)
(click Enroll for locations)

Fee:  $1195

Savings options:

 15 Day Pass
 CEA Tech Saver
Need a price quote?

Follow the link to our self-service price quote form to generate an email with a price quote.

Email Alert

Receive an email when this class is available as "Ready to Run" or "Early Notice" status.

Attend from your office or home

If you have high-speed internet and two computers you can likely take this class from your office or home.

Need a class for a group?

We can deliver this class for a private group at your location. Follow the link to request more information.

Attend computer classes from ONLC Training Centers Request a copy via mail


Class Format
Class Policies
Student Reviews

Bookmark and Share

First Name

Last Name