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