Microsoft Power BI Data Analysis Practitioner

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.

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.
• Customize and filter visualizations.
• Share reports and create dashboards in the Power BI service.

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.