Analyzing Data with Power BI (10989)


Duration : 2 days

This two-day instructor-led course provides students with the knowledge and skills analyze data with Power BI.

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.

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


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

20761B – Querying Data with Transact-SQL
20767B – Implementing a SQL Server Data Warehouse

What’s included?

  • Authorized Courseware
  • Intensive Hands on Skills Development with an Experienced Subject Matter Expert
  • Hands-on practice on real Servers and extended lab support 1.800.482.3172
  • Examination Vouchers & Onsite Certification Testing- (excluding Adobe and PMP Boot Camps)
  • Academy Code of Honor: Test Pass Guarantee
  • Optional: Package for Hotel Accommodations, Lunch and Transportation

With several convenient training delivery methods offered, The Academy makes getting the training you need easy. Whether you prefer to learn in a classroom or an online live learning virtual environment, training videos hosted online, and private group classes hosted at your site. We offer expert instruction to individuals, government agencies, non-profits, and corporations. Our live classes, on-sites, and online training videos all feature certified instructors who teach a detailed curriculum and share their expertise and insights with trainees. No matter how you prefer to receive the training, you can count on The Academy for an engaging and effective learning experience.


  • Instructor Led (the best training format we offer)
  • Live Online Classroom – Online Instructor Led
  • Self-Paced Video

Speak to an Admissions Representative for complete details

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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

After completing this module, you will be able to:

Describe key concepts in business intelligence
Describe key concepts in data analysis
Describe key concepts in data visualization
Describe the rationale for self-service BI
Describe how Microsoft products can be used to implement a self -service BI solution

Module 2: Introducing Power BI
This module introduces Power BI.


Power BI
The Power BI service
Power BI mobile apps
Lab: Creating a Power BI dashboard

After completing this module, you will be able to:

Describe Power BI
Describe the Power BI Service
Implement Tenant Management
Describe Power BI mobile apps
Create a simple 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

After completing this module, you will be able to:

Use Excel as a Power BI data source
Use databases as a Power BI data source and describe the R language
Configure the Power BI Service

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

After completing this module, you will be able to:

Create Power BI Desktop queries
Shape data
Combine data

Module 5: Modelling Data

This module describes how to model data in Power BI.


DAX queries
Calculations and measures
Lab: Modelling data

After completing this module, you will be able to:

DAX Queries
Calculations and measures

Module 6: Interactive Data Visualizations
This module describes the Power BI visualizations.


Creating Power BI reports
Managing a Power BI solution
Lab: Creating a Power BI report

After completing this module, you will be able to:

Use Power BI Desktop create interactive data visualizations
Describe the management of a Power BI solution