Microsoft® Power BI®: Data Analysis Professional (Third Edition)
Course Description Overview
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.
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 United States Career Campus courses:
- Microsoft® Excel® for Office 365™ (Desktop or Online): Part 1 or Microsoft® Office Excel® 2021: Part 1
- Microsoft® Excel® for Office 365™ (Desktop or Online): Part 2 or Microsoft® Office Excel® 2021: 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: Data Analysis with Power Pivot
- Data Analysis and Visualization with Microsoft® Excel®
Each computer will need to have the following software installed. Unless otherwise specified, the software should be full licensed versions.
- Microsoft® Windows® 11
- Microsoft .NET version 4.6.2 or later
- Microsoft 365® Business Premium (Trial)
- Microsoft® Excel® Online
- Microsoft® PowerPoint®
NOTE: Students will need to be provided with a Microsoft 365 Business Premium trial email address that they can access during the course. Training centers can use their own Microsoft 365 accounts. Students using their own Microsoft 365 accounts may experience issues that limit some of the activities.
- Adobe® Acrobat® Reader
- Power BI ® Desktop
- Any web browser
- If necessary, software for viewing the course slides. (Instructor machine only.)
For this course, you will need one computer for each student and one for the instructor. Each computer will need the following minimum hardware configurations:
- Sufficient processor speed, RAM, and storage space for good system performance when running Windows® 11/Power BI Desktop.
- Mouse and keyboard.
- Monitor capable of a screen resolution of at least 1,440 × 900 pixels, at least a 256-color display, and a video adapter with at least 4 MB of memory. 1,440 × 900 or 1,600 × 900 (16:9) are recommended because some controls (such as closing the startup screen) display beyond lower resolutions such as 1,024 × 768 or 1,280 × 800.
- High-speed, stable Internet connection.
- Mobile device to run the Power BI mobile app (optional).
- For the instructor's computer, a method to project and/or share the screen as needed for local and remote class participants.
Lesson 1: Analyzing Data and Reporting with Power BI
Topic A: Data Analysis and Visualization for Business Intelligence
Topic B: Interact with Reports in Power BI
Lesson 2: Connecting to Data
Topic A: Create Data Source Connections
Topic B: Configure and Manage Relationships
Topic C: Save Files in Power BI
Topic D: Secure and Troubleshoot Connections
Lesson 3: Cleaning, Transforming, and Loading Data
Topic A: Load, Clean, and Shape Data with the Query Editor
Topic B: Profile Data with the Query Editor
Topic C: Shape Data with the Query Editor
Topic D: Transform Data with the Query Editor
Lesson 4: Visualizing Data with Power BI
Topic A: Create Visualizations with Power BI
Topic B: Select Visualization Types 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
Lesson 7: Customizing and Filtering Reports
Topic A: Create 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
Topic C: Add Q&A to Dashboards
Lesson 10: Managing and Collaborating in the Power BI Service
Topic A: Manage Workspaces and Share Content
Topic B: Collaborate with the Power BI Service
Lesson 11: Enhancing Reports and Dashboards
Topic A: Optimize Usability and Performance
Topic B: Create Mobile Reports for Power BI