Microsoft Power BI: Data Practitioner

In this course, you will explore and visualize data with Power BI. You will:

• Analyze data with self-service BI.
• Connect to data sources.
• Perform advanced data modeling and shaping.
• Visualize data with Power BI.
• Enhance data analysis.
• Model data with calculations.
• Create interactive visualizations.

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 server to perform numerical or general data analysis. They are responsible for conducting data analysis and providing reports about their analysis, and are 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.
 

To ensure your success, you should have experience managing data with a spreadsheet program such as Microsoft Excel or Google Sheets. To meet this prerequisite, you can take any one or more of the following Logical Operations courses:
• Microsoft® Office Excel® 2016: Part 1 (Desktop/Office 365™)
• Microsoft® Office Excel® 2016: Part 2
• Using Google G Suite™
Optionally, having experience with other data analytics tools, such as Google Analytics™ or Customer Relationship Management (CRM) tools, as well as an understanding 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:
• Google Analytics™: Foundation (Second Edition)
• Database Design: A Modern Approach
• Microsoft® Office Excel® 2016: Data Analysis with Power Pivot

Lesson 1: Analyzing Data with Self-Service BI

• Topic A: Data Analysis and Visualization for Business Intelligence
• Topic B: Self-Service BI with Microsoft Power BI

Lesson 2: Connecting to Data

• Topic A: Create Data Connections
• Topic B: Model Data with Relationships
• Topic C: Save Power BI Files

Lesson 3: Performing Advanced Data Modeling and Shaping

• Topic A: Clean and Transform Data with the Query Editor
• Topic B: Shape Data with the Query Editor
• Topic C: Combine and Manage Data Rows

Lesson 4: Visualizing Data with Power BI

• Topic A: Create Visualizations in Power BI
• Topic B: Chart Data in Power BI

Lesson 5: Enhancing Data Analysis

• Topic A: Enhance Analysis with Customized Visuals and Pages
• Topic B: Enhance Analysis with Tooltips

Lesson 6: Modeling Data with Calculations

• Topic A: Create Calculations with Data Analysis Expressions (DAX)
• Topic B: Create Calculated Measures and Conditional Columns

Lesson 7: Creating Interactive Visualizations

• Topic A: Create and Manage Data Hierarchies
• Topic B: Filter and Slice Reports
• Topic C: Create Dashboards in Power BI