This course covers the various methods and best practices that are in line with the business and technical requirements for modeling, visualizing, and analyzing data with Power BI. The course will show how to access and process data from a variety of data sources, including relational and non–relational sources. Finally, the course will also discuss how to manage and deploy reports and dashboards for sharing and distributing content
| Audience(s): | Data Analyst |
| Technology: | Power BI |
| Duration: | 24 hours |
Module 1: Data Analysis Overview
Module 2: Introduction to Building with Power BI
Module 3: Getting Data in Power BI
Module 4: Cleaning, Transforming, and Loading Data in Power BI
Module 5: Designing a Semantic Model in Power BI
Module 6: Adding Measures to Power BI Desktop Models
Module 7: Incorporating Calculated Tables and Columns into Power BI Desktop Models
Module 8: Using DAX Time Intelligence Functions in Power BI Desktop Models
Module 9: Optimizing a Model for Performance in Power BI
Module 10: Designing Power BI Reports
Module 11: Configuring Power BI Report Filters
Module 12: Enhancing Power BI Report Designs for User Experience
Module 13: Performing Analysis in Power BI
Module 14: Creating and Managing Workspaces in Power BI
Module 15: Managing Datasets in Power BI
Module 16: Creating Dashboards in Power BI
Module 17: Implementing Row-Level Security (RLS)
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