Programming & Development

Microsoft Power BI - Data Analysis Practitioner


As technology progresses and becomes more interwoven with our businesses and lives, more data is collected about business and personal activities. This era of “big data” has exploded due to the rise of cloud computing, which provides an abundance of computational power and storage, allowing organizations of all sorts to capture and store data. Leveraging that data effectively can provide timely insights and a competitive advantage.

Who Should Attend
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.

Course Objectives
Students 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.

Course Outline:

Data Analysis and Visualization for Business Intelligence
Self-Service BI with Microsoft Power BI
Create Data Connections
Model Data with Relationships
Save Power BI Files
Clean and Transform Data with the Query Editor
Shape Data with the Query Editor
Combine and Manage Data Rows
Create Visualizations in Power BI
Chart Data in Power BI
Enhance Analysis with Customized Visuals and Pages
Enhance Analysis with Tooltips
Create Calculations with Data Analysis Expressions (DAX)
Create Calculated Measures and Conditional Columns
Create and Manage Data Hierarchies
Filter and Slice Reports
Create Dashboards in Power BI

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