Microsoft Power BI Data Analysis Professional|System Source

In our data-driven world, a staggering amount of information is collected about business and personal activities—so much information that analysis becomes a challenge for any organization. Creating data-driven visualizations is key for data scientists, or any professional, to explore, analyze, and report insights and trends from data. Microsoft® Power BI® software is designed for this purpose. Power BI was built to connect to a wide range of data sources, and it enables users to create rich visualizations of connected data. Power BI's data-connection capabilities and visualization features go far beyond those that can be found in spreadsheets, enabling users to create compelling and interactive worksheets, dashboards, and stories that bring data to life and turn data into thoughtful action.


12/07/26 - HC3 - Virtual Instructor-Led - Virtual Instructor-Led	(click to enroll)
03/10/27 - HA2 - Virtual Instructor-Led - Virtual Instructor-Led	(click to enroll)

In this course, you will analyze data and create visualizations with Microsoft Power BI. You will:

Analyze data with self-service BI.
Connect to data sources.
Perform data cleaning, profiling, and shaping.
Visualize data with Power BI.
Enhance data analysis by adding and customizing visual elements.
Model data with calculations.
Customize and filter visualizations.
Use advanced analysis techniques.
Share reports and create dashboards in the Power BI service.
Manage and collaborate in the Power BI service.
Enhance reports and dashboards.

Lesson 1: Analyzing Data and Reporting with Power BI

Topic A: Identify Business-Intelligence Concepts and Tools

Topic B: Interact with Reports in Power BI

Lesson 2: Connecting to Data

Topic A: Create Data Connections

Topic B: Configure and Manage Relationships

Topic C: Save Files in Power BI Desktop

Topic D: Secure and Troubleshoot Connections

Lesson 3: Cleaning, Transforming, and Loading Data

Topic A: Load, Clean, and Shape Data with the Power Query Editor

Topic B: Profile Data with the Power Query Editor

Topic C: Perform Advanced Data Shaping with the Power Query Editor

Topic D: Transform Data with the Power Query Editor

Lesson 4: Visualizing Data with Power BI

Topic A: Create Visualizations with Power BI

Topic B: Chart Data with Power BI

Lesson 5: Enhancing Visuals for Data Analysis

Topic A: Customize Visuals and Pages

Topic B: Incorporate Tooltips in Visualizations

Lesson 6: Modeling Data with Calculations

Topic A: Create Calculated Columns with DAX

Topic B: Create Calculated Measures and Conditional Columns

Topic C: Create Visual Calculations

Lesson 7: Customizing and Filtering Reports

Topic A: Create and Manage Data Hierarchies

Topic B: Filter Reports

Topic C: Discover Time-Intelligence Insights

Topic D: Configure Slicers for Interactive Filtering

Lesson 8: Performing Advanced Analysis

Topic A: Create Calculated Tables, Variables, and Parameters

Topic B: Perform Statistical Analysis

Topic C: Analyze Data with Advanced Power BI Features

Lesson 9: Sharing Reports and Creating Dashboards in the Power BI Service

Topic A: Publish and Explore Reports in the Power BI Service

Topic B: Create Dashboards

Lesson 10: Managing and Collaborating in the Power BI Service

Topic A: Manage Workspaces and Share Content

Topic B: Collaborate with Team Members

Lesson 11: Enhancing Reports and Dashboards

Topic A: Optimize Usability and Performance

Topic B: Create Mobile Reports for Power BI

To ensure your success, you should have experience managing data with a spreadsheet program such as Microsoft Excel. To meet this prerequisite, you can take any one or more of the following Logical Operations courses:

Microsoft® Excel® for Microsoft 365® (Desktop or Online): Part 1
Microsoft® Excel® for Microsoft 365® (Desktop or Online): Part 2

Optionally, having experience with other data-analytics tools, such as Google Analytics™ or customer-relationship management (CRM) systems such as Salesforce®, as well as a knowledge of database-design concepts and basic programming constructs such as looping and branching, will help you get even more out of this course. The following courses are helpful but not required:

Database Design: A Modern Approach
Microsoft® Excel® for Office 365®/2021–2024: Data Analysis with Power Pivot
Data Analysis and Visualization with Microsoft® Excel®

This course is designed for professionals in a variety of job roles who are currently using desktop or web-based data-management tools such as Microsoft® Excel® or SQL Server® Reporting Services (SSRS) to perform numerical or general data analysis. Students are responsible for connecting to cloud-based data sources, as well as shaping and combining data for the purpose of analysis. They are also looking for alternative ways to analyze business data, visualize insights, and share those insights with peers across the enterprise. This includes capturing and reporting on data to peers, executives, and clients.

This course is also designed for professionals who want to pursue the Microsoft Power BI Data Analyst Associate (Exam PL-300) certification.

Microsoft Power BI Data Analysis Professional

Course Overview

Scheduled Classes

What You'll Learn

Outline